[{"citation":{"apa":"Chiossi, H. S. C. (2024). <i>Adaptive hierarchical representations in the hippocampus</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:14821\">https://doi.org/10.15479/at:ista:14821</a>","ama":"Chiossi HSC. Adaptive hierarchical representations in the hippocampus. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:14821\">10.15479/at:ista:14821</a>","ieee":"H. S. C. Chiossi, “Adaptive hierarchical representations in the hippocampus,” Institute of Science and Technology Austria, 2024.","chicago":"Chiossi, Heloisa S. C. “Adaptive Hierarchical Representations in the Hippocampus.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:14821\">https://doi.org/10.15479/at:ista:14821</a>.","mla":"Chiossi, Heloisa S. C. <i>Adaptive Hierarchical Representations in the Hippocampus</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:14821\">10.15479/at:ista:14821</a>.","short":"H.S.C. Chiossi, Adaptive Hierarchical Representations in the Hippocampus, Institute of Science and Technology Austria, 2024.","ista":"Chiossi HSC. 2024. Adaptive hierarchical representations in the hippocampus. Institute of Science and Technology Austria."},"year":"2024","date_updated":"2024-02-01T09:50:29Z","day":"19","doi":"10.15479/at:ista:14821","degree_awarded":"PhD","ddc":["570"],"_id":"14821","author":[{"last_name":"Chiossi","first_name":"Heloisa","full_name":"Chiossi, Heloisa","id":"2BBA502C-F248-11E8-B48F-1D18A9856A87"}],"article_processing_charge":"No","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"date_created":"2024-01-16T14:25:21Z","publication_status":"published","title":"Adaptive hierarchical representations in the hippocampus","alternative_title":["ISTA Thesis"],"ec_funded":1,"page":"89","file_date_updated":"2024-01-19T11:04:05Z","publisher":"Institute of Science and Technology Austria","type":"dissertation","date_published":"2024-01-19T00:00:00Z","publication_identifier":{"issn":["2663 - 337X"]},"supervisor":[{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari"}],"file":[{"relation":"source_file","access_level":"closed","creator":"hchiossi","file_id":"14838","checksum":"d3fa3de1abd5af5204c13e9d55375615","file_size":8656268,"date_created":"2024-01-19T11:04:05Z","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_name":"PhD_Thesis_190124.docx","date_updated":"2024-01-19T11:04:05Z"},{"checksum":"13adc8dcfb5b6b18107f89f0a98fa8bd","file_size":6567275,"embargo_to":"open_access","date_created":"2024-01-19T11:03:59Z","embargo":"2025-01-19","content_type":"application/pdf","file_name":"PhD_Thesis_190124.pdf","date_updated":"2024-01-19T11:03:59Z","access_level":"closed","relation":"main_file","creator":"hchiossi","file_id":"14839"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","status":"public","has_accepted_license":"1","project":[{"name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","month":"01","language":[{"iso":"eng"}]},{"day":"26","doi":"10.1016/j.celrep.2023.113015","abstract":[{"text":"The execution of cognitive functions requires coordinated circuit activity across different brain areas that involves the associated firing of neuronal assemblies. Here, we tested the circuit mechanism behind assembly interactions between the hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording neuronal populations during a rule-switching task. We identified functionally coupled CA1-mPFC cells that synchronized their activity beyond that expected from common spatial coding or oscillatory firing. When such cell pairs fired together, the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent theta firing phases, independent of the theta timing of their CA1 counterpart. These functionally connected CA1-mPFC cells formed interconnected assemblies. While firing together with their CA1 assembly partners, mPFC cells fired along specific theta sequences. Our results suggest that upregulated theta oscillatory firing of mPFC cells can signal transient interactions with specific CA1 assemblies, thus enabling distributed computations.","lang":"eng"}],"citation":{"short":"M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023).","mla":"Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” <i>Cell Reports</i>, vol. 42, no. 9, 113015, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">10.1016/j.celrep.2023.113015</a>.","ista":"Nardin M, Käfer K, Stella F, Csicsvari JL. 2023. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9), 113015.","apa":"Nardin, M., Käfer, K., Stella, F., &#38; Csicsvari, J. L. (2023). Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. <i>Cell Reports</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">https://doi.org/10.1016/j.celrep.2023.113015</a>","ama":"Nardin M, Käfer K, Stella F, Csicsvari JL. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. <i>Cell Reports</i>. 2023;42(9). doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">10.1016/j.celrep.2023.113015</a>","chicago":"Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” <i>Cell Reports</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">https://doi.org/10.1016/j.celrep.2023.113015</a>.","ieee":"M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions,” <i>Cell Reports</i>, vol. 42, no. 9. Elsevier, 2023."},"year":"2023","date_updated":"2023-09-15T07:14:12Z","external_id":{"pmid":["37632747"]},"volume":42,"acknowledgement":"We thank A. Cumpelik, H. Chiossi, and L. Bollman for comments on an earlier version of this manuscript. This work was funded by EU-FP7 MC-ITN IN-SENS (grant 607616).","ddc":["570"],"department":[{"_id":"JoCs"}],"article_processing_charge":"Yes","date_created":"2023-09-10T22:01:11Z","publication_status":"published","intvolume":"        42","title":"Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions","scopus_import":"1","pmid":1,"_id":"14314","issue":"9","author":[{"last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Käfer","first_name":"Karola","full_name":"Käfer, Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Stella, Federico","orcid":"0000-0001-9439-3148","last_name":"Stella","first_name":"Federico","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L"}],"publisher":"Elsevier","article_type":"original","ec_funded":1,"quality_controlled":"1","file_date_updated":"2023-09-15T07:12:46Z","publication_identifier":{"eissn":["2211-1247"]},"oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2023-09-26T00:00:00Z","file":[{"checksum":"ca77a304fb813c292550b8604b0fb41d","file_size":4879455,"date_created":"2023-09-15T07:12:46Z","content_type":"application/pdf","file_name":"2023_CellPress_Nardin.pdf","date_updated":"2023-09-15T07:12:46Z","relation":"main_file","success":1,"access_level":"open_access","creator":"dernst","file_id":"14337"}],"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","project":[{"name":"Inter-and intracellular signalling in schizophrenia","grant_number":"607616","call_identifier":"FP7","_id":"257BBB4C-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","article_number":"113015","month":"09","has_accepted_license":"1","publication":"Cell Reports","language":[{"iso":"eng"}]},{"abstract":[{"lang":"eng","text":"Although much is known about how single neurons in the hippocampus represent an animal's position, how circuit interactions contribute to spatial coding is less well understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured CA1 cell-cell interactions in male rats during open field exploration. The statistics of these interactions depend on whether the animal is in a familiar or novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the informativeness of their spatial inputs. This structure facilitates linear decodability, making the information easy to read out by downstream circuits. Overall, our findings suggest that the efficient coding hypothesis is not only applicable to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain."}],"doi":"10.1523/JNEUROSCI.0194-23.2023","day":"29","external_id":{"pmid":["37758476"]},"date_updated":"2023-12-11T11:37:20Z","year":"2023","citation":{"short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience 43 (2023) 8140–8156.","mla":"Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>, vol. 43, no. 48, Society of Neuroscience, 2023, pp. 8140–56, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">10.1523/JNEUROSCI.0194-23.2023</a>.","ista":"Nardin M, Csicsvari JL, Tkačik G, Savin C. 2023. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience. 43(48), 8140–8156.","ama":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>. 2023;43(48):8140-8156. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">10.1523/JNEUROSCI.0194-23.2023</a>","apa":"Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (2023). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>. Society of Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>","ieee":"M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal CA1 interactions optimizes spatial coding across experience,” <i>The Journal of Neuroscience</i>, vol. 43, no. 48. Society of Neuroscience, pp. 8140–8156, 2023.","chicago":"Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>. Society of Neuroscience, 2023. <a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>."},"ddc":["570"],"volume":43,"acknowledgement":"M.N. was supported by the European Union Horizon 2020 Grant 665385. J.C. was supported by the European Research Council Consolidator Grant 281511. G.T. was supported by the Austrian Science Fund (FWF) Grant P34015. C.S. was supported by an Institute of Science and Technology fellow award and by the National Science Foundation (NSF) Award No. 1922658. We thank Peter Baracskay, Karola Kaefer, and Hugo Malagon-Vina for the acquisition of the data. We also thank Federico Stella, Wiktor Młynarski, Dori Derdikman, Colin Bredenberg, Roman Huszar, Heloisa Chiossi, Lorenzo Posani, and Mohamady El-Gaby for comments on an earlier version of the manuscript.","title":"The structure of hippocampal CA1 interactions optimizes spatial coding across experience","intvolume":"        43","publication_status":"published","article_processing_charge":"Yes (in subscription journal)","date_created":"2023-12-10T23:00:58Z","department":[{"_id":"JoCs"},{"_id":"GaTk"}],"author":[{"orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","first_name":"Michele","last_name":"Nardin","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper"},{"id":"3933349E-F248-11E8-B48F-1D18A9856A87","last_name":"Savin","first_name":"Cristina","full_name":"Savin, Cristina"}],"issue":"48","pmid":1,"_id":"14656","scopus_import":"1","article_type":"original","publisher":"Society of Neuroscience","file_date_updated":"2023-12-11T11:30:37Z","page":"8140-8156","quality_controlled":"1","ec_funded":1,"oa":1,"publication_identifier":{"eissn":["1529-2401"]},"date_published":"2023-11-29T00:00:00Z","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","file":[{"access_level":"closed","relation":"main_file","file_id":"14674","creator":"dernst","embargo":"2024-06-01","date_created":"2023-12-11T11:30:37Z","file_size":2280632,"checksum":"e2503c8f84be1050e28f64320f1d5bd2","embargo_to":"open_access","date_updated":"2023-12-11T11:30:37Z","file_name":"2023_JourNeuroscience_Nardin.pdf","content_type":"application/pdf"}],"main_file_link":[{"url":"https://doi.org/10.1523/JNEUROSCI.0194-23.2023","open_access":"1"}],"month":"11","oa_version":"Published Version","project":[{"name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","grant_number":"281511","_id":"257A4776-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"name":"Efficient coding with biophysical realism","grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"},{"call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program"}],"publication":"The Journal of Neuroscience","has_accepted_license":"1","language":[{"iso":"eng"}]},{"file":[{"file_size":4737671,"checksum":"edeb9d09f3e41ba7c0251308b9e372e7","date_created":"2023-04-25T08:59:18Z","file_name":"2023_PLoSCompBio_Safavi.pdf","content_type":"application/pdf","date_updated":"2023-04-25T08:59:18Z","relation":"main_file","access_level":"open_access","success":1,"creator":"dernst","file_id":"12867"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","related_material":{"link":[{"relation":"software","url":"https://github.com/shervinsafavi/gpla.git"}]},"publication_identifier":{"eissn":["1553-7358"]},"oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2023-04-01T00:00:00Z","language":[{"iso":"eng"}],"oa_version":"Published Version","article_number":"e1010983","month":"04","has_accepted_license":"1","publication":"PLoS Computational Biology","acknowledgement":"We thank Britni Crocker for help with preprocessing of the data and spike sorting; Joachim Werner and Michael Schnabel for their excellent IT support; Andreas Tolias for help with the initial implantation’s of the Utah arrays.\r\nAll authors were supported by the Max Planck Society. M.B. was supported by the German\r\nFederal Ministry of Education and Research (BMBF) through the funding scheme received by\r\nthe Tübingen AI Center, FKZ: 01IS18039B. N.K.L. and V.K. acknowledge the support from the\r\nShanghai Municipal Science and Technology Major Project (Grant No. 2019SHZDZX02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ","volume":19,"ddc":["570"],"day":"01","doi":"10.1371/journal.pcbi.1010983","abstract":[{"lang":"eng","text":"Despite the considerable progress of in vivo neural recording techniques, inferring the biophysical mechanisms underlying large scale coordination of brain activity from neural data remains challenging. One obstacle is the difficulty to link high dimensional functional connectivity measures to mechanistic models of network activity. We address this issue by investigating spike-field coupling (SFC) measurements, which quantify the synchronization between, on the one hand, the action potentials produced by neurons, and on the other hand mesoscopic “field” signals, reflecting subthreshold activities at possibly multiple recording sites. As the number of recording sites gets large, the amount of pairwise SFC measurements becomes overwhelmingly challenging to interpret. We develop Generalized Phase Locking Analysis (GPLA) as an interpretable dimensionality reduction of this multivariate SFC. GPLA describes the dominant coupling between field activity and neural ensembles across space and frequencies. We show that GPLA features are biophysically interpretable when used in conjunction with appropriate network models, such that we can identify the influence of underlying circuit properties on these features. We demonstrate the statistical benefits and interpretability of this approach in various computational models and Utah array recordings. The results suggest that GPLA, used jointly with biophysical modeling, can help uncover the contribution of recurrent microcircuits to the spatio-temporal dynamics observed in multi-channel experimental recordings."}],"citation":{"mla":"Safavi, Shervin, et al. “Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis.” <i>PLoS Computational Biology</i>, vol. 19, no. 4, e1010983, Public Library of Science, 2023, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">10.1371/journal.pcbi.1010983</a>.","short":"S. Safavi, T.I. Panagiotaropoulos, V. Kapoor, J.F. Ramirez Villegas, N.K. Logothetis, M. Besserve, PLoS Computational Biology 19 (2023).","ista":"Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis NK, Besserve M. 2023. Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. PLoS Computational Biology. 19(4), e1010983.","ama":"Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis NK, Besserve M. Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. <i>PLoS Computational Biology</i>. 2023;19(4). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">10.1371/journal.pcbi.1010983</a>","apa":"Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez Villegas, J. F., Logothetis, N. K., &#38; Besserve, M. (2023). Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">https://doi.org/10.1371/journal.pcbi.1010983</a>","ieee":"S. Safavi, T. I. Panagiotaropoulos, V. Kapoor, J. F. Ramirez Villegas, N. K. Logothetis, and M. Besserve, “Uncovering the organization of neural circuits with Generalized Phase Locking Analysis,” <i>PLoS Computational Biology</i>, vol. 19, no. 4. Public Library of Science, 2023.","chicago":"Safavi, Shervin, Theofanis I. Panagiotaropoulos, Vishal Kapoor, Juan F Ramirez Villegas, Nikos K. Logothetis, and Michel Besserve. “Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis.” <i>PLoS Computational Biology</i>. Public Library of Science, 2023. <a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">https://doi.org/10.1371/journal.pcbi.1010983</a>."},"year":"2023","date_updated":"2023-08-01T14:15:16Z","external_id":{"isi":["000962668700002"]},"isi":1,"publisher":"Public Library of Science","article_type":"original","quality_controlled":"1","file_date_updated":"2023-04-25T08:59:18Z","article_processing_charge":"No","date_created":"2023-04-23T22:01:03Z","department":[{"_id":"JoCs"}],"publication_status":"published","intvolume":"        19","title":"Uncovering the organization of neural circuits with Generalized Phase Locking Analysis","scopus_import":"1","_id":"12862","issue":"4","author":[{"full_name":"Safavi, Shervin","last_name":"Safavi","first_name":"Shervin"},{"first_name":"Theofanis I.","last_name":"Panagiotaropoulos","full_name":"Panagiotaropoulos, Theofanis I."},{"first_name":"Vishal","last_name":"Kapoor","full_name":"Kapoor, Vishal"},{"full_name":"Ramirez Villegas, Juan F","last_name":"Ramirez Villegas","first_name":"Juan F","id":"44B06F76-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Logothetis","first_name":"Nikos K.","full_name":"Logothetis, Nikos K."},{"full_name":"Besserve, Michel","last_name":"Besserve","first_name":"Michel"}]},{"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","related_material":{"link":[{"url":"https://www.biorxiv.org/content/10.1101/2020.09.18.301481","relation":"earlier_version"},{"url":"https://ista.ac.at/en/news/resisting-the-pressure/","relation":"press_release","description":"News on the ISTA Website"}],"record":[{"status":"public","id":"8557","relation":"earlier_version"},{"status":"public","relation":"dissertation_contains","id":"11193"}]},"status":"public","file":[{"date_created":"2022-01-12T13:50:04Z","file_size":5426932,"checksum":"f454212a5522a7818ba4b2892315c478","date_updated":"2022-01-12T13:50:04Z","file_name":"2022_PLOSBio_Belyaeva.pdf","content_type":"application/pdf","relation":"main_file","access_level":"open_access","success":1,"file_id":"10615","creator":"cchlebak"}],"type":"journal_article","date_published":"2022-01-06T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"publication_identifier":{"eissn":["1545-7885"],"issn":["1544-9173"]},"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"PLoS Biology","month":"01","project":[{"_id":"253B6E48-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P29638","name":"Drosophila TNFa´s Funktion in Immunzellen"},{"_id":"26199CA4-B435-11E9-9278-68D0E5697425","grant_number":"24800","name":"Tissue barrier penetration is crucial for immunity and metastasis"},{"grant_number":"334077","name":"Investigating the role of transporters in invasive migration through junctions","call_identifier":"FP7","_id":"2536F660-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","acknowledged_ssus":[{"_id":"LifeSc"}],"ddc":["570"],"volume":20,"acknowledgement":"We thank the following for their contributions: Plasmids were supplied by the Drosophila Genomics Resource Center (NIH 2P40OD010949-10A1); fly stocks were provided by K. Brueckner, B. Stramer, M. Uhlirova, O. Schuldiner, the Bloomington Drosophila Stock Center (NIH P40OD018537) and the Vienna Drosophila Resource Center, FlyBase for essential genomic information, and the BDGP in situ database for data. For antibodies, we thank the Developmental Studies Hybridoma Bank, which was created by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the NIH and is maintained at the University of Iowa, as well as J. Zeitlinger for her generous gift of Dfos antibody. We thank the Vienna BioCenter Core Facilities for RNA sequencing and analysis and the Life Scientific Service Units at IST Austria for technical support and assistance with microscopy and FACS analysis. We thank C. P. Heisenberg, P. Martin, M. Sixt, and Siekhaus group members for discussions and T. Hurd, A. Ratheesh, and P. Rangan for comments on the manuscript.","external_id":{"pmid":["34990456"],"isi":["000971223700001"]},"isi":1,"year":"2022","citation":{"ama":"Belyaeva V, Wachner S, György A, et al. Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila. <i>PLoS Biology</i>. 2022;20(1):e3001494. doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001494\">10.1371/journal.pbio.3001494</a>","apa":"Belyaeva, V., Wachner, S., György, A., Emtenani, S., Gridchyn, I., Akhmanova, M., … Siekhaus, D. E. (2022). Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila. <i>PLoS Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.3001494\">https://doi.org/10.1371/journal.pbio.3001494</a>","chicago":"Belyaeva, Vera, Stephanie Wachner, Attila György, Shamsi Emtenani, Igor Gridchyn, Maria Akhmanova, M Linder, Marko Roblek, M Sibilia, and Daria E Siekhaus. “Fos Regulates Macrophage Infiltration against Surrounding Tissue Resistance by a Cortical Actin-Based Mechanism in Drosophila.” <i>PLoS Biology</i>. Public Library of Science, 2022. <a href=\"https://doi.org/10.1371/journal.pbio.3001494\">https://doi.org/10.1371/journal.pbio.3001494</a>.","ieee":"V. Belyaeva <i>et al.</i>, “Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila,” <i>PLoS Biology</i>, vol. 20, no. 1. Public Library of Science, p. e3001494, 2022.","mla":"Belyaeva, Vera, et al. “Fos Regulates Macrophage Infiltration against Surrounding Tissue Resistance by a Cortical Actin-Based Mechanism in Drosophila.” <i>PLoS Biology</i>, vol. 20, no. 1, Public Library of Science, 2022, p. e3001494, doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001494\">10.1371/journal.pbio.3001494</a>.","short":"V. Belyaeva, S. Wachner, A. György, S. Emtenani, I. Gridchyn, M. Akhmanova, M. Linder, M. Roblek, M. Sibilia, D.E. Siekhaus, PLoS Biology 20 (2022) e3001494.","ista":"Belyaeva V, Wachner S, György A, Emtenani S, Gridchyn I, Akhmanova M, Linder M, Roblek M, Sibilia M, Siekhaus DE. 2022. Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila. PLoS Biology. 20(1), e3001494."},"date_updated":"2024-03-25T23:30:15Z","abstract":[{"lang":"eng","text":"The infiltration of immune cells into tissues underlies the establishment of tissue-resident macrophages and responses to infections and tumors. Yet the mechanisms immune cells utilize to negotiate tissue barriers in living organisms are not well understood, and a role for cortical actin has not been examined. Here, we find that the tissue invasion of Drosophila macrophages, also known as plasmatocytes or hemocytes, utilizes enhanced cortical F-actin levels stimulated by the Drosophila member of the fos proto oncogene transcription factor family (Dfos, Kayak). RNA sequencing analysis and live imaging show that Dfos enhances F-actin levels around the entire macrophage surface by increasing mRNA levels of the membrane spanning molecular scaffold tetraspanin TM4SF, and the actin cross-linking filamin Cheerio, which are themselves required for invasion. Both the filamin and the tetraspanin enhance the cortical activity of Rho1 and the formin Diaphanous and thus the assembly of cortical actin, which is a critical function since expressing a dominant active form of Diaphanous can rescue the Dfos macrophage invasion defect. In vivo imaging shows that Dfos enhances the efficiency of the initial phases of macrophage tissue entry. Genetic evidence argues that this Dfos-induced program in macrophages counteracts the constraint produced by the tension of surrounding tissues and buffers the properties of the macrophage nucleus from affecting tissue entry. We thus identify strengthening the cortical actin cytoskeleton through Dfos as a key process allowing efficient forward movement of an immune cell into surrounding tissues. "}],"day":"06","doi":"10.1371/journal.pbio.3001494","file_date_updated":"2022-01-12T13:50:04Z","ec_funded":1,"quality_controlled":"1","page":"e3001494","article_type":"original","publisher":"Public Library of Science","issue":"1","author":[{"last_name":"Belyaeva","first_name":"Vera","full_name":"Belyaeva, Vera","id":"47F080FE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Wachner","first_name":"Stephanie","full_name":"Wachner, Stephanie","id":"2A95E7B0-F248-11E8-B48F-1D18A9856A87"},{"id":"3BCEDBE0-F248-11E8-B48F-1D18A9856A87","last_name":"György","first_name":"Attila","full_name":"György, Attila","orcid":"0000-0002-1819-198X"},{"id":"49D32318-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6981-6938","full_name":"Emtenani, Shamsi","first_name":"Shamsi","last_name":"Emtenani"},{"id":"4B60654C-F248-11E8-B48F-1D18A9856A87","full_name":"Gridchyn, Igor","orcid":"0000-0002-1807-1929","last_name":"Gridchyn","first_name":"Igor"},{"id":"3425EC26-F248-11E8-B48F-1D18A9856A87","first_name":"Maria","last_name":"Akhmanova","orcid":"0000-0003-1522-3162","full_name":"Akhmanova, Maria"},{"last_name":"Linder","first_name":"M","full_name":"Linder, M"},{"id":"3047D808-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9588-1389","full_name":"Roblek, Marko","first_name":"Marko","last_name":"Roblek"},{"last_name":"Sibilia","first_name":"M","full_name":"Sibilia, M"},{"id":"3D224B9E-F248-11E8-B48F-1D18A9856A87","first_name":"Daria E","last_name":"Siekhaus","orcid":"0000-0001-8323-8353","full_name":"Siekhaus, Daria E"}],"scopus_import":"1","_id":"10614","pmid":1,"intvolume":"        20","title":"Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila","article_processing_charge":"No","department":[{"_id":"DaSi"},{"_id":"JoCs"}],"date_created":"2022-01-12T10:18:17Z","publication_status":"published"},{"supervisor":[{"full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"oa":1,"publication_identifier":{"issn":["2663-337X"]},"date_published":"2022-08-19T00:00:00Z","type":"dissertation","status":"public","related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"10077"},{"status":"public","id":"6194","relation":"part_of_dissertation"}]},"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","file":[{"file_name":"Michele Nardin, Ph.D. Thesis - ISTA (1).zip","content_type":"application/zip","date_updated":"2023-06-20T22:30:04Z","embargo_to":"open_access","file_size":13515457,"checksum":"2dbb70c74aaa3b64c1f463e943baf09c","date_created":"2022-08-19T16:31:34Z","creator":"mnardin","file_id":"11935","access_level":"closed","relation":"source_file"},{"date_updated":"2023-06-20T22:30:04Z","content_type":"application/pdf","file_name":"Michele_Nardin_Phd_Thesis_PDFA.pdf","embargo":"2023-06-19","date_created":"2022-08-22T09:43:50Z","checksum":"0ec94035ea35a47a9f589ed168e60b48","file_size":9906458,"file_id":"11941","creator":"mnardin","relation":"main_file","access_level":"open_access"}],"month":"08","oa_version":"Published Version","project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"665385","name":"International IST Doctoral Program"}],"has_accepted_license":"1","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"The ability to form and retrieve memories is central to survival. In mammals, the hippocampus\r\nis a brain region essential to the acquisition and consolidation of new memories. It is also\r\ninvolved in keeping track of one’s position in space and aids navigation. Although this\r\nspace-memory has been a source of contradiction, evidence supports the view that the role of\r\nthe hippocampus in navigation is memory, thanks to the formation of cognitive maps. First\r\nintroduced by Tolman in 1948, cognitive maps are generally used to organize experiences in\r\nmemory; however, the detailed mechanisms by which these maps are formed and stored are not\r\nyet agreed upon. Some influential theories describe this process as involving three fundamental\r\nsteps: initial encoding by the hippocampus, interactions between the hippocampus and other\r\ncortical areas, and long-term extra-hippocampal consolidation. In this thesis, I will show how\r\nthe investigation of cognitive maps of space helped to shed light on each of these three memory\r\nprocesses.\r\nThe first study included in this thesis deals with the initial encoding of spatial memories in\r\nthe hippocampus. Much is known about encoding at the level of single cells, but less about\r\ntheir co-activity or joint contribution to the encoding of novel spatial information. I will\r\ndescribe the structure of an interaction network that allows for efficient encoding of noisy\r\nspatial information during the first exploration of a novel environment.\r\nThe second study describes the interactions between the hippocampus and the prefrontal\r\ncortex (PFC), two areas directly and indirectly connected. It is known that the PFC, in concert\r\nwith the hippocampus, is involved in various processes, including memory storage and spatial\r\nnavigation. Nonetheless, the detailed mechanisms by which PFC receives information from the\r\nhippocampus are not clear. I will show how a transient improvement in theta phase locking of\r\nPFC cells enables interactions of cell pairs across the two regions.\r\nThe third study describes the learning of behaviorally-relevant spatial locations in the hippocampus and the medial entorhinal cortex. I will show how the accumulation of firing around\r\ngoal locations, a correlate of learning, can shed light on the transition from short- to long-term\r\nspatial memories and the speed of consolidation in different brain areas.\r\nThe studies included in this thesis represent the main scientific contributions of my Ph.D. They\r\ninvolve statistical analyses and models of neural responses of cells in different brain areas of\r\nrats executing spatial tasks. I will conclude the thesis by discussing the impact of the findings\r\non principles of memory formation and retention, including the mechanisms, the speed, and\r\nthe duration of these processes."}],"degree_awarded":"PhD","doi":"10.15479/at:ista:11932","day":"19","date_updated":"2023-09-05T12:02:14Z","year":"2022","citation":{"short":"M. Nardin, On the Encoding, Transfer, and Consolidation of Spatial Memories, Institute of Science and Technology Austria, 2022.","mla":"Nardin, Michele. <i>On the Encoding, Transfer, and Consolidation of Spatial Memories</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:11932\">10.15479/at:ista:11932</a>.","ista":"Nardin M. 2022. On the encoding, transfer, and consolidation of spatial memories. Institute of Science and Technology Austria.","ama":"Nardin M. On the encoding, transfer, and consolidation of spatial memories. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:11932\">10.15479/at:ista:11932</a>","apa":"Nardin, M. (2022). <i>On the encoding, transfer, and consolidation of spatial memories</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:11932\">https://doi.org/10.15479/at:ista:11932</a>","ieee":"M. Nardin, “On the encoding, transfer, and consolidation of spatial memories,” Institute of Science and Technology Austria, 2022.","chicago":"Nardin, Michele. “On the Encoding, Transfer, and Consolidation of Spatial Memories.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:11932\">https://doi.org/10.15479/at:ista:11932</a>."},"ddc":["573"],"acknowledgement":"I acknowledge the support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 665385.","alternative_title":["ISTA Thesis"],"title":"On the encoding, transfer, and consolidation of spatial memories","publication_status":"published","article_processing_charge":"No","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"date_created":"2022-08-19T08:52:30Z","author":[{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570","last_name":"Nardin","first_name":"Michele"}],"_id":"11932","publisher":"Institute of Science and Technology Austria","file_date_updated":"2023-06-20T22:30:04Z","page":"136","ec_funded":1},{"acknowledgement":"We thank F. Marr and A. Schlögl for technical assistance, E. Kralli-Beller for manuscript editing, as well as C. Sommer and the Imaging and Optics Facility of the Institute of Science and Technology Austria (ISTA) for image analysis scripts and microscopy support. We extend our gratitude to J. Wallenschus and D. Rangel Guerrero for technical assistance acquiring single-unit data and I. Gridchyn for help with single-unit clustering. Finally, we also thank B. Suter for discussions, A. Saunders, M. Jösch, and H. Monyer for critically reading earlier versions of the manuscript, C. Petersen for sharing clearing protocols, and the Scientific Service Units of ISTA for efficient support. This project was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC advanced grant No 692692 to P.J.) and the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award for P.J. and I3600-B27 for J.G.D. and P.V.).","volume":13,"ddc":["570"],"day":"16","doi":"10.1038/s41467-022-32559-8","abstract":[{"lang":"eng","text":"The mammalian hippocampal formation (HF) plays a key role in several higher brain functions, such as spatial coding, learning and memory. Its simple circuit architecture is often viewed as a trisynaptic loop, processing input originating from the superficial layers of the entorhinal cortex (EC) and sending it back to its deeper layers. Here, we show that excitatory neurons in layer 6b of the mouse EC project to all sub-regions comprising the HF and receive input from the CA1, thalamus and claustrum. Furthermore, their output is characterized by unique slow-decaying excitatory postsynaptic currents capable of driving plateau-like potentials in their postsynaptic targets. Optogenetic inhibition of the EC-6b pathway affects spatial coding in CA1 pyramidal neurons, while cell ablation impairs not only acquisition of new spatial memories, but also degradation of previously acquired ones. Our results provide evidence of a functional role for cortical layer 6b neurons in the adult brain."}],"citation":{"mla":"Ben Simon, Yoav, et al. “A Direct Excitatory Projection from Entorhinal Layer 6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” <i>Nature Communications</i>, vol. 13, 4826, Springer Nature, 2022, doi:<a href=\"https://doi.org/10.1038/s41467-022-32559-8\">10.1038/s41467-022-32559-8</a>.","short":"Y. Ben Simon, K. Käfer, P. Velicky, J.L. Csicsvari, J.G. Danzl, P.M. Jonas, Nature Communications 13 (2022).","ista":"Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. 2022. A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. Nature Communications. 13, 4826.","ama":"Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. <i>Nature Communications</i>. 2022;13. doi:<a href=\"https://doi.org/10.1038/s41467-022-32559-8\">10.1038/s41467-022-32559-8</a>","apa":"Ben Simon, Y., Käfer, K., Velicky, P., Csicsvari, J. L., Danzl, J. G., &#38; Jonas, P. M. (2022). A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-022-32559-8\">https://doi.org/10.1038/s41467-022-32559-8</a>","ieee":"Y. Ben Simon, K. Käfer, P. Velicky, J. L. Csicsvari, J. G. Danzl, and P. M. Jonas, “A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory,” <i>Nature Communications</i>, vol. 13. Springer Nature, 2022.","chicago":"Ben Simon, Yoav, Karola Käfer, Philipp Velicky, Jozsef L Csicsvari, Johann G Danzl, and Peter M Jonas. “A Direct Excitatory Projection from Entorhinal Layer 6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” <i>Nature Communications</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41467-022-32559-8\">https://doi.org/10.1038/s41467-022-32559-8</a>."},"year":"2022","date_updated":"2023-08-03T13:01:19Z","external_id":{"isi":["000841396400008"]},"isi":1,"publisher":"Springer Nature","article_type":"original","ec_funded":1,"quality_controlled":"1","file_date_updated":"2022-08-26T11:51:40Z","department":[{"_id":"JoCs"},{"_id":"PeJo"},{"_id":"JoDa"}],"date_created":"2022-08-24T08:25:50Z","article_processing_charge":"No","publication_status":"published","intvolume":"        13","title":"A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory","_id":"11951","author":[{"id":"43DF3136-F248-11E8-B48F-1D18A9856A87","last_name":"Ben Simon","first_name":"Yoav","full_name":"Ben Simon, Yoav"},{"id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","first_name":"Karola","last_name":"Käfer","full_name":"Käfer, Karola"},{"last_name":"Velicky","first_name":"Philipp","full_name":"Velicky, Philipp","orcid":"0000-0002-2340-7431","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M"}],"file":[{"date_updated":"2022-08-26T11:51:40Z","content_type":"application/pdf","file_name":"2022_NatureCommunications_BenSimon.pdf","date_created":"2022-08-26T11:51:40Z","checksum":"405936d9e4d33625d80c093c9713a91f","file_size":5910357,"file_id":"11990","creator":"dernst","access_level":"open_access","success":1,"relation":"main_file"}],"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","publication_identifier":{"issn":["2041-1723"]},"oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2022-08-16T00:00:00Z","keyword":["General Physics and Astronomy","General Biochemistry","Genetics and Molecular Biology","General Chemistry","Multidisciplinary"],"language":[{"iso":"eng"}],"project":[{"call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","grant_number":"692692"},{"call_identifier":"FWF","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","grant_number":"I03600","name":"Optical control of synaptic function via adhesion molecules"},{"grant_number":"Z00312","name":"The Wittgenstein Prize","_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"SSU"}],"oa_version":"Published Version","article_number":"4826","month":"08","has_accepted_license":"1","publication":"Nature Communications"},{"ec_funded":1,"quality_controlled":"1","file_date_updated":"2023-01-24T10:10:43Z","publisher":"Frontiers Media","article_type":"letter_note","scopus_import":"1","_id":"12149","author":[{"first_name":"Giuditta","last_name":"Gambino","full_name":"Gambino, Giuditta"},{"last_name":"Bhik-Ghanie","first_name":"Rebecca","full_name":"Bhik-Ghanie, Rebecca"},{"full_name":"Giglia, Giuseppe","first_name":"Giuseppe","last_name":"Giglia"},{"first_name":"M. Victoria","last_name":"Puig","full_name":"Puig, M. Victoria"},{"id":"44B06F76-F248-11E8-B48F-1D18A9856A87","last_name":"Ramirez Villegas","first_name":"Juan F","full_name":"Ramirez Villegas, Juan F"},{"full_name":"Zaldivar, Daniel","first_name":"Daniel","last_name":"Zaldivar"}],"department":[{"_id":"JoCs"}],"article_processing_charge":"No","date_created":"2023-01-12T12:07:39Z","publication_status":"published","intvolume":"        16","title":"Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels","acknowledgement":"This work was supported by a DFG grant ZA990/1 to DZ. This work was supported by the MSCA EU proposal 841301 - DREAM, European Commission; Horizon 2020 - Research and Innovation Framework Programme to JFRV.","volume":16,"ddc":["570"],"citation":{"ista":"Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar D. 2022. Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. Frontiers in Neural Circuits. 16, 1028154.","mla":"Gambino, Giuditta, et al. “Editorial: Neuromodulatory Ascending Systems: Their Influence at the Microscopic and Macroscopic Levels.” <i>Frontiers in Neural Circuits</i>, vol. 16, 1028154, Frontiers Media, 2022, doi:<a href=\"https://doi.org/10.3389/fncir.2022.1028154\">10.3389/fncir.2022.1028154</a>.","short":"G. Gambino, R. Bhik-Ghanie, G. Giglia, M.V. Puig, J.F. Ramirez Villegas, D. Zaldivar, Frontiers in Neural Circuits 16 (2022).","chicago":"Gambino, Giuditta, Rebecca Bhik-Ghanie, Giuseppe Giglia, M. Victoria Puig, Juan F Ramirez Villegas, and Daniel Zaldivar. “Editorial: Neuromodulatory Ascending Systems: Their Influence at the Microscopic and Macroscopic Levels.” <i>Frontiers in Neural Circuits</i>. Frontiers Media, 2022. <a href=\"https://doi.org/10.3389/fncir.2022.1028154\">https://doi.org/10.3389/fncir.2022.1028154</a>.","ieee":"G. Gambino, R. Bhik-Ghanie, G. Giglia, M. V. Puig, J. F. Ramirez Villegas, and D. Zaldivar, “Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels,” <i>Frontiers in Neural Circuits</i>, vol. 16. Frontiers Media, 2022.","apa":"Gambino, G., Bhik-Ghanie, R., Giglia, G., Puig, M. V., Ramirez Villegas, J. F., &#38; Zaldivar, D. (2022). Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. <i>Frontiers in Neural Circuits</i>. Frontiers Media. <a href=\"https://doi.org/10.3389/fncir.2022.1028154\">https://doi.org/10.3389/fncir.2022.1028154</a>","ama":"Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar D. Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. <i>Frontiers in Neural Circuits</i>. 2022;16. doi:<a href=\"https://doi.org/10.3389/fncir.2022.1028154\">10.3389/fncir.2022.1028154</a>"},"year":"2022","date_updated":"2023-08-04T09:01:06Z","external_id":{"isi":["000886671400001"]},"isi":1,"day":"26","doi":"10.3389/fncir.2022.1028154","abstract":[{"lang":"eng","text":"Editorial on the Research Topic"}],"keyword":["Cellular and Molecular Neuroscience","Cognitive Neuroscience","Sensory Systems","Neuroscience (miscellaneous)"],"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"Frontiers in Neural Circuits","project":[{"_id":"26BAE2E4-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"The Brainstem-Hippocampus Network Uncovered: Dynamics, Reactivation and Memory Consolidation","grant_number":"841301"}],"oa_version":"Published Version","article_number":"1028154","month":"10","file":[{"relation":"main_file","success":1,"access_level":"open_access","creator":"dernst","file_id":"12357","file_size":110031,"checksum":"457aa00e1800847abb340853058531de","date_created":"2023-01-24T10:10:43Z","file_name":"2022_FrontiersNeuralCircuits_Gambino.pdf","content_type":"application/pdf","date_updated":"2023-01-24T10:10:43Z"}],"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2022-10-26T00:00:00Z","publication_identifier":{"issn":["1662-5110"]},"oa":1},{"language":[{"iso":"eng"}],"publication":"Nature","month":"01","oa_version":"None","status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","related_material":{"link":[{"url":"https://doi.org/10.1038/s41586-020-03068-9","relation":"erratum"}]},"date_published":"2021-01-07T00:00:00Z","type":"journal_article","publication_identifier":{"issn":["00280836"],"eissn":["14764687"]},"page":"96-102","quality_controlled":"1","article_type":"original","publisher":"Springer Nature","author":[{"first_name":"Juan F","last_name":"Ramirez Villegas","full_name":"Ramirez Villegas, Juan F","id":"44B06F76-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Besserve, Michel","first_name":"Michel","last_name":"Besserve"},{"first_name":"Yusuke","last_name":"Murayama","full_name":"Murayama, Yusuke"},{"last_name":"Evrard","first_name":"Henry C.","full_name":"Evrard, Henry C."},{"first_name":"Axel","last_name":"Oeltermann","full_name":"Oeltermann, Axel"},{"last_name":"Logothetis","first_name":"Nikos K.","full_name":"Logothetis, Nikos K."}],"issue":"7840","_id":"8818","pmid":1,"scopus_import":"1","title":"Coupling of hippocampal theta and ripples with pontogeniculooccipital waves","intvolume":"       589","publication_status":"published","department":[{"_id":"JoCs"}],"article_processing_charge":"No","date_created":"2020-11-29T23:01:19Z","acknowledgement":"We thank O. Eschenko and M. Constantinou for providing feedback on earlier versions of this work, and J. Werner and M. Schnabel for technical support during the development of this study. This research was supported by the Max Planck Society.","volume":589,"isi":1,"external_id":{"isi":["000591047800005"],"pmid":["33208951"]},"date_updated":"2023-08-04T11:13:08Z","year":"2021","citation":{"ieee":"J. F. Ramirez Villegas, M. Besserve, Y. Murayama, H. C. Evrard, A. Oeltermann, and N. K. Logothetis, “Coupling of hippocampal theta and ripples with pontogeniculooccipital waves,” <i>Nature</i>, vol. 589, no. 7840. Springer Nature, pp. 96–102, 2021.","chicago":"Ramirez Villegas, Juan F, Michel Besserve, Yusuke Murayama, Henry C. Evrard, Axel Oeltermann, and Nikos K. Logothetis. “Coupling of Hippocampal Theta and Ripples with Pontogeniculooccipital Waves.” <i>Nature</i>. Springer Nature, 2021. <a href=\"https://doi.org/10.1038/s41586-020-2914-4\">https://doi.org/10.1038/s41586-020-2914-4</a>.","apa":"Ramirez Villegas, J. F., Besserve, M., Murayama, Y., Evrard, H. C., Oeltermann, A., &#38; Logothetis, N. K. (2021). Coupling of hippocampal theta and ripples with pontogeniculooccipital waves. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-020-2914-4\">https://doi.org/10.1038/s41586-020-2914-4</a>","ama":"Ramirez Villegas JF, Besserve M, Murayama Y, Evrard HC, Oeltermann A, Logothetis NK. Coupling of hippocampal theta and ripples with pontogeniculooccipital waves. <i>Nature</i>. 2021;589(7840):96-102. doi:<a href=\"https://doi.org/10.1038/s41586-020-2914-4\">10.1038/s41586-020-2914-4</a>","ista":"Ramirez Villegas JF, Besserve M, Murayama Y, Evrard HC, Oeltermann A, Logothetis NK. 2021. Coupling of hippocampal theta and ripples with pontogeniculooccipital waves. Nature. 589(7840), 96–102.","mla":"Ramirez Villegas, Juan F., et al. “Coupling of Hippocampal Theta and Ripples with Pontogeniculooccipital Waves.” <i>Nature</i>, vol. 589, no. 7840, Springer Nature, 2021, pp. 96–102, doi:<a href=\"https://doi.org/10.1038/s41586-020-2914-4\">10.1038/s41586-020-2914-4</a>.","short":"J.F. Ramirez Villegas, M. Besserve, Y. Murayama, H.C. Evrard, A. Oeltermann, N.K. Logothetis, Nature 589 (2021) 96–102."},"abstract":[{"text":"The hippocampus has a major role in encoding and consolidating long-term memories, and undergoes plastic changes during sleep1. These changes require precise homeostatic control by subcortical neuromodulatory structures2. The underlying mechanisms of this phenomenon, however, remain unknown. Here, using multi-structure recordings in macaque monkeys, we show that the brainstem transiently modulates hippocampal network events through phasic pontine waves known as pontogeniculooccipital waves (PGO waves). Two physiologically distinct types of PGO wave appear to occur sequentially, selectively influencing high-frequency ripples and low-frequency theta events, respectively. The two types of PGO wave are associated with opposite hippocampal spike-field coupling, prompting periods of high neural synchrony of neural populations during periods of ripple and theta instances. The coupling between PGO waves and ripples, classically associated with distinct sleep stages, supports the notion that a global coordination mechanism of hippocampal sleep dynamics by cholinergic pontine transients may promote systems and synaptic memory consolidation as well as synaptic homeostasis.","lang":"eng"}],"doi":"10.1038/s41586-020-2914-4","day":"07"},{"ec_funded":1,"language":[{"iso":"eng"}],"publisher":"Cold Spring Harbor Laboratory","_id":"10077","publication":"bioRxiv","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","author":[{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","first_name":"Michele","last_name":"Nardin"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper"},{"last_name":"Savin","first_name":"Cristina","full_name":"Savin, Cristina","id":"3933349E-F248-11E8-B48F-1D18A9856A87"}],"publication_status":"submitted","oa_version":"Preprint","project":[{"name":"International IST Postdoc Fellowship Programme","grant_number":"291734","call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425"},{"name":"International IST Doctoral Program","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","_id":"257A4776-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"name":"Efficient coding with biophysical realism","grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"}],"date_created":"2021-10-04T06:23:34Z","article_processing_charge":"No","department":[{"_id":"GradSch"},{"_id":"JoCs"},{"_id":"GaTk"}],"title":"The structure of hippocampal CA1 interactions optimizes spatial coding across experience","month":"09","acknowledgement":"We thank Peter Baracskay, Karola Kaefer and Hugo Malagon-Vina for the acquisition of the data. We thank Federico Stella for comments on an earlier version of the manuscript. MN was supported by European Union Horizon 2020 grant 665385, JC was supported by European Research Council consolidator grant 281511, GT was supported by the Austrian Science Fund (FWF) grant P34015, CS was supported by an IST fellow grant, National Institute of Mental Health Award 1R01MH125571-01, by the National Science Foundation under NSF Award No. 1922658 and a Google faculty award.","main_file_link":[{"open_access":"1","url":"https://www.biorxiv.org/content/10.1101/2021.09.28.460602"}],"status":"public","related_material":{"record":[{"relation":"dissertation_contains","id":"11932","status":"public"}]},"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"date_updated":"2024-03-25T23:30:09Z","citation":{"apa":"Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (n.d.). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2021.09.28.460602\">https://doi.org/10.1101/2021.09.28.460602</a>","ama":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>","chicago":"Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2021.09.28.460602\">https://doi.org/10.1101/2021.09.28.460602</a>.","ieee":"M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal CA1 interactions optimizes spatial coding across experience,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory.","short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, BioRxiv (n.d.).","mla":"Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>.","ista":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. bioRxiv, <a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>."},"year":"2021","date_published":"2021-09-29T00:00:00Z","type":"preprint","doi":"10.1101/2021.09.28.460602","day":"29","abstract":[{"text":"Although much is known about how single neurons in the hippocampus represent an animal’s position, how cell-cell interactions contribute to spatial coding remains poorly understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured cell-to-cell interactions whose statistics depend on familiar vs. novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the signal-to-noise ratio of their spatial inputs. Moreover, the topology of the interactions facilitates linear decodability, making the information easy to read out by downstream circuits. These findings suggest that the efficient coding hypothesis is not applicable only to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain.","lang":"eng"}],"oa":1},{"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","status":"public","main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/2021.09.30.462269","open_access":"1"}],"acknowledgement":"We thank Federico Stella for invaluable suggestions and discussions. We thank Yosman BapatDhar and Andrea Cumpelik for comments, help and suggestions on the exposure of the text. We thank Predrag Živadinović and Juliana Couras for comments on the text and the figures. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616).","oa":1,"abstract":[{"text":"Hippocampal and neocortical neural activity is modulated by the position of the individual in space. While hippocampal neurons provide the basis for a spatial map, prefrontal cortical neurons generalize over environmental features. Whether these generalized representations result from a bidirectional interaction with, or are mainly derived from hippocampal spatial representations is not known. By examining simultaneously recorded hippocampal and medial prefrontal neurons, we observed that prefrontal spatial representations show a delayed coherence with hippocampal ones. We also identified subpopulations of cells in the hippocampus and medial prefrontal cortex that formed functional cross-area couplings; these resembled the optimal connections predicted by a probabilistic model of spatial information transfer and generalization. Moreover, cross-area couplings were strongest and had the shortest delay preceding spatial decision-making. Our results suggest that generalized spatial coding in the medial prefrontal cortex is inherited from spatial representations in the hippocampus, and that the routing of information can change dynamically with behavioral demands.","lang":"eng"}],"day":"02","doi":"10.1101/2021.09.30.462269","type":"preprint","date_published":"2021-10-02T00:00:00Z","citation":{"short":"M. Nardin, K. Käfer, J.L. Csicsvari, BioRxiv (n.d.).","mla":"Nardin, Michele, et al. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>.","ista":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv, <a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>.","ama":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>","apa":"Nardin, M., Käfer, K., &#38; Csicsvari, J. L. (n.d.). The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2021.09.30.462269\">https://doi.org/10.1101/2021.09.30.462269</a>","chicago":"Nardin, Michele, Karola Käfer, and Jozsef L Csicsvari. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2021.09.30.462269\">https://doi.org/10.1101/2021.09.30.462269</a>.","ieee":"M. Nardin, K. Käfer, and J. L. Csicsvari, “The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory."},"year":"2021","date_updated":"2021-10-05T12:34:26Z","publisher":"Cold Spring Harbor Laboratory","language":[{"iso":"eng"}],"ec_funded":1,"month":"10","title":"The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus","project":[{"call_identifier":"FP7","_id":"257BBB4C-B435-11E9-9278-68D0E5697425","grant_number":"607616","name":"Inter-and intracellular signalling in schizophrenia"}],"date_created":"2021-10-04T06:28:32Z","article_processing_charge":"No","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"publication_status":"submitted","oa_version":"Preprint","author":[{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570"},{"full_name":"Käfer, Karola","first_name":"Karola","last_name":"Käfer","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"publication":"bioRxiv","_id":"10080"},{"language":[{"iso":"eng"}],"publication":"Peer Community Journal","has_accepted_license":"1","month":"12","article_number":"e68","oa_version":"Published Version","project":[{"grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"status":"public","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","file":[{"date_updated":"2022-01-17T11:15:26Z","content_type":"application/pdf","file_name":"10_24072_pcjournal_69.pdf","date_created":"2022-01-17T11:15:26Z","file_size":3311494,"checksum":"cd9af6b331918608f2e3d1c7940cbf4f","file_id":"10636","creator":"mnardin","success":1,"access_level":"open_access","relation":"main_file"}],"date_published":"2021-12-15T00:00:00Z","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"publication_identifier":{"eissn":["2804-3871"]},"file_date_updated":"2022-01-17T11:15:26Z","quality_controlled":"1","ec_funded":1,"article_type":"original","publisher":"Centre Mersenne ; Peer Community In","author":[{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570"},{"full_name":"Phillips, James W.","last_name":"Phillips","first_name":"James W."},{"full_name":"Podlaski, William F.","last_name":"Podlaski","first_name":"William F."},{"first_name":"Sander W.","last_name":"Keemink","full_name":"Keemink, Sander W."}],"_id":"10635","title":"Nonlinear computations in spiking neural networks through multiplicative synapses","intvolume":"         1","publication_status":"published","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"article_processing_charge":"No","date_created":"2022-01-17T11:12:40Z","ddc":["519"],"volume":1,"acknowledgement":"A preprint version of this article has been peer-reviewed and recommended by Peer Community In Neuroscience (DOI link to the recommendation: https://doi.org/10.24072/pci.cneuro.100003).\r\nWe thank Christian Machens and Nuno Calaim for useful discussions on the project. This report\r\ncame out of a collaboration started at the CAJAL Advanced Neuroscience Training Programme in\r\nComputational Neuroscience in Lisbon, Portugal, during the 2019 summer. The authors would\r\nlike to thank the participants, TAs, lecturers, and organizers of the summer school. SWK was\r\nsupported by the Simons Collaboration on the Global Brain (543009). WFP was supported by\r\nFCT (032077). MN was supported by European Union Horizon 2020 (665385).\r\n","external_id":{"arxiv":["2009.03857"]},"date_updated":"2022-01-17T13:30:01Z","year":"2021","citation":{"ama":"Nardin M, Phillips JW, Podlaski WF, Keemink SW. Nonlinear computations in spiking neural networks through multiplicative synapses. <i>Peer Community Journal</i>. 2021;1. doi:<a href=\"https://doi.org/10.24072/pcjournal.69\">10.24072/pcjournal.69</a>","apa":"Nardin, M., Phillips, J. W., Podlaski, W. F., &#38; Keemink, S. W. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. <i>Peer Community Journal</i>. Centre Mersenne ; Peer Community In. <a href=\"https://doi.org/10.24072/pcjournal.69\">https://doi.org/10.24072/pcjournal.69</a>","chicago":"Nardin, Michele, James W. Phillips, William F. Podlaski, and Sander W. Keemink. “Nonlinear Computations in Spiking Neural Networks through Multiplicative Synapses.” <i>Peer Community Journal</i>. Centre Mersenne ; Peer Community In, 2021. <a href=\"https://doi.org/10.24072/pcjournal.69\">https://doi.org/10.24072/pcjournal.69</a>.","ieee":"M. Nardin, J. W. Phillips, W. F. Podlaski, and S. W. Keemink, “Nonlinear computations in spiking neural networks through multiplicative synapses,” <i>Peer Community Journal</i>, vol. 1. Centre Mersenne ; Peer Community In, 2021.","mla":"Nardin, Michele, et al. “Nonlinear Computations in Spiking Neural Networks through Multiplicative Synapses.” <i>Peer Community Journal</i>, vol. 1, e68, Centre Mersenne ; Peer Community In, 2021, doi:<a href=\"https://doi.org/10.24072/pcjournal.69\">10.24072/pcjournal.69</a>.","short":"M. Nardin, J.W. Phillips, W.F. Podlaski, S.W. Keemink, Peer Community Journal 1 (2021).","ista":"Nardin M, Phillips JW, Podlaski WF, Keemink SW. 2021. Nonlinear computations in spiking neural networks through multiplicative synapses. Peer Community Journal. 1, e68."},"abstract":[{"lang":"eng","text":"The brain efficiently performs nonlinear computations through its intricate networks of spiking neurons, but how this is done remains elusive. While nonlinear computations can be implemented successfully in spiking neural networks, this requires supervised training and the resulting connectivity can be hard to interpret. In contrast, the required connectivity for any computation in the form of a linear dynamical system can be directly derived and understood with the spike coding network (SCN) framework. These networks also have biologically realistic activity patterns and are highly robust to cell death. Here we extend the SCN framework to directly implement any polynomial dynamical system, without the need for training. This results in networks requiring a mix of synapse types (fast, slow, and multiplicative), which we term multiplicative spike coding networks (mSCNs). Using mSCNs, we demonstrate how to directly derive the required connectivity for several nonlinear dynamical systems. We also show how to carry out higher-order polynomials with coupled networks that use only pair-wise multiplicative synapses, and provide expected numbers of connections for each synapse type. Overall, our work demonstrates a novel method for implementing nonlinear computations in spiking neural networks, while keeping the attractive features of standard SCNs (robustness, realistic activity patterns, and interpretable connectivity). Finally, we discuss the biological plausibility of our approach, and how the high accuracy and robustness of the approach may be of interest for neuromorphic computing."}],"arxiv":1,"doi":"10.24072/pcjournal.69","day":"15"},{"language":[{"iso":"eng"}],"ec_funded":1,"month":"09","title":"Cortical actin properties controlled by Drosophila Fos aid macrophage infiltration against surrounding tissue resistance","article_processing_charge":"No","date_created":"2020-09-23T09:36:47Z","department":[{"_id":"DaSi"},{"_id":"JoCs"}],"project":[{"name":"Drosophila TNFa´s Funktion in Immunzellen","grant_number":"P29638","call_identifier":"FWF","_id":"253B6E48-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FP7","_id":"2536F660-B435-11E9-9278-68D0E5697425","grant_number":"334077","name":"Investigating the role of transporters in invasive migration through junctions"},{"_id":"26199CA4-B435-11E9-9278-68D0E5697425","name":"Tissue barrier penetration is crucial for immunity and metastasis","grant_number":"24800"}],"oa_version":"Preprint","acknowledged_ssus":[{"_id":"LifeSc"}],"publication_status":"submitted","author":[{"last_name":"Belyaeva","first_name":"Vera","full_name":"Belyaeva, Vera","id":"47F080FE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Wachner, Stephanie","last_name":"Wachner","first_name":"Stephanie","id":"2A95E7B0-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-1807-1929","full_name":"Gridchyn, Igor","first_name":"Igor","last_name":"Gridchyn","id":"4B60654C-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Linder, Markus","last_name":"Linder","first_name":"Markus"},{"orcid":"0000-0001-6981-6938","full_name":"Emtenani, Shamsi","first_name":"Shamsi","last_name":"Emtenani","id":"49D32318-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-1819-198X","full_name":"György, Attila","first_name":"Attila","last_name":"György","id":"3BCEDBE0-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Sibilia, Maria","first_name":"Maria","last_name":"Sibilia"},{"id":"3D224B9E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8323-8353","full_name":"Siekhaus, Daria E","first_name":"Daria E","last_name":"Siekhaus"}],"publication":"bioRxiv","_id":"8557","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"relation":"later_version","id":"10614","status":"public"},{"relation":"dissertation_contains","id":"8983","status":"public"}]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2020.09.18.301481"}],"acknowledgement":"We thank the following for their contributions: The Drosophila Genomics Resource Center supported by NIH grant 2P40OD010949-10A1 for plasmids, K. Brueckner. B. Stramer, M. Uhlirova, O. Schuldiner, the Bloomington Drosophila Stock Center supported by NIH grant P40OD018537 and the Vienna Drosophila Resource Center for fly stocks, FlyBase (Thurmond et al., 2019) for essential genomic information, and the BDGP in situ database for data (Tomancak et al., 2002, 2007). For antibodies, we thank the Developmental Studies Hybridoma Bank, which was created by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the NIH, and is maintained at the University of Iowa, as well as J. Zeitlinger for her generous gift of Dfos antibody. We thank the Vienna BioCenter Core Facilities for RNA sequencing and analysis and the Life Scientific Service Units at IST Austria for technical support and assistance with microscopy and FACS analysis. We thank C.P. Heisenberg, P. Martin, M. Sixt and Siekhaus group members for discussions and T.Hurd, A. Ratheesh and P. Rangan for comments on the manuscript. A.G. was supported by the Austrian Science Fund (FWF) grant DASI_FWF01_P29638S, D.E.S. by Marie Curie CIG 334077/IRTIM. M.S. is supported by the FWF, PhD program W1212 915 and the European Research Council (ERC) Advanced grant (ERC-2015-AdG TNT-Tumors 694883). S.W. is supported by an OEAW, DOC fellowship.","oa":1,"abstract":[{"text":"The infiltration of immune cells into tissues underlies the establishment of tissue resident macrophages, and responses to infections and tumors. Yet the mechanisms immune cells utilize to negotiate tissue barriers in living organisms are not well understood, and a role for cortical actin has not been examined. Here we find that the tissue invasion of Drosophila macrophages, also known as plasmatocytes or hemocytes, utilizes enhanced cortical F-actin levels stimulated by the Drosophila member of the fos proto oncogene transcription factor family (Dfos, Kayak). RNA sequencing analysis and live imaging show that Dfos enhances F-actin levels around the entire macrophage surface by increasing mRNA levels of the membrane spanning molecular scaffold tetraspanin TM4SF, and the actin cross-linking filamin Cheerio which are themselves required for invasion. Cortical F-actin levels are critical as expressing a dominant active form of Diaphanous, a actin polymerizing Formin, can rescue the Dfos Dominant Negative macrophage invasion defect. In vivo imaging shows that Dfos is required to enhance the efficiency of the initial phases of macrophage tissue entry. Genetic evidence argues that this Dfos-induced program in macrophages counteracts the constraint produced by the tension of surrounding tissues and buffers the mechanical properties of the macrophage nucleus from affecting tissue entry. We thus identify tuning the cortical actin cytoskeleton through Dfos as a key process allowing efficient forward movement of an immune cell into surrounding tissues.","lang":"eng"}],"day":"18","doi":"10.1101/2020.09.18.301481","type":"preprint","date_published":"2020-09-18T00:00:00Z","citation":{"chicago":"Belyaeva, Vera, Stephanie Wachner, Igor Gridchyn, Markus Linder, Shamsi Emtenani, Attila György, Maria Sibilia, and Daria E Siekhaus. “Cortical Actin Properties Controlled by Drosophila Fos Aid Macrophage Infiltration against Surrounding Tissue Resistance.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.1101/2020.09.18.301481\">https://doi.org/10.1101/2020.09.18.301481</a>.","ieee":"V. Belyaeva <i>et al.</i>, “Cortical actin properties controlled by Drosophila Fos aid macrophage infiltration against surrounding tissue resistance,” <i>bioRxiv</i>. .","apa":"Belyaeva, V., Wachner, S., Gridchyn, I., Linder, M., Emtenani, S., György, A., … Siekhaus, D. E. (n.d.). Cortical actin properties controlled by Drosophila Fos aid macrophage infiltration against surrounding tissue resistance. <i>bioRxiv</i>. <a href=\"https://doi.org/10.1101/2020.09.18.301481\">https://doi.org/10.1101/2020.09.18.301481</a>","ama":"Belyaeva V, Wachner S, Gridchyn I, et al. Cortical actin properties controlled by Drosophila Fos aid macrophage infiltration against surrounding tissue resistance. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2020.09.18.301481\">10.1101/2020.09.18.301481</a>","ista":"Belyaeva V, Wachner S, Gridchyn I, Linder M, Emtenani S, György A, Sibilia M, Siekhaus DE. Cortical actin properties controlled by Drosophila Fos aid macrophage infiltration against surrounding tissue resistance. bioRxiv, <a href=\"https://doi.org/10.1101/2020.09.18.301481\">10.1101/2020.09.18.301481</a>.","short":"V. Belyaeva, S. Wachner, I. Gridchyn, M. Linder, S. Emtenani, A. György, M. Sibilia, D.E. Siekhaus, BioRxiv (n.d.).","mla":"Belyaeva, Vera, et al. “Cortical Actin Properties Controlled by Drosophila Fos Aid Macrophage Infiltration against Surrounding Tissue Resistance.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.1101/2020.09.18.301481\">10.1101/2020.09.18.301481</a>."},"year":"2020","date_updated":"2024-03-25T23:30:12Z"},{"file":[{"file_id":"8564","creator":"jozsef","success":1,"access_level":"open_access","relation":"main_file","date_updated":"2020-09-23T14:36:17Z","file_name":"upload.tgz","content_type":"application/x-compressed","date_created":"2020-09-23T14:36:17Z","checksum":"a16098a6d172f9c42ab5af5f6991668c","file_size":145243906},{"date_updated":"2020-10-19T10:12:29Z","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_name":"redme.docx","date_created":"2020-10-19T10:12:29Z","file_size":11648,"checksum":"0bfc54b7e14c0694cd081617318ba606","file_id":"8675","creator":"jozsef","success":1,"relation":"main_file","access_level":"open_access"}],"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["570"],"related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"8740"}]},"day":"19","doi":"10.15479/AT:ISTA:8563","oa":1,"abstract":[{"lang":"eng","text":"Supplementary data  provided for the provided for the publication:\r\nIgor Gridchyn , Philipp Schoenenberger , Joseph O'Neill , Jozsef Csicsvari (2020) Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal-interneuron connections during behavior. Elife."}],"citation":{"apa":"Csicsvari, J. L., Gridchyn, I., &#38; Schönenberger, P. (2020). Optogenetic alteration of hippocampal network activity. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:8563\">https://doi.org/10.15479/AT:ISTA:8563</a>","ama":"Csicsvari JL, Gridchyn I, Schönenberger P. Optogenetic alteration of hippocampal network activity. 2020. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:8563\">10.15479/AT:ISTA:8563</a>","chicago":"Csicsvari, Jozsef L, Igor Gridchyn, and Philipp Schönenberger. “Optogenetic Alteration of Hippocampal Network Activity.” Institute of Science and Technology Austria, 2020. <a href=\"https://doi.org/10.15479/AT:ISTA:8563\">https://doi.org/10.15479/AT:ISTA:8563</a>.","ieee":"J. L. Csicsvari, I. Gridchyn, and P. Schönenberger, “Optogenetic alteration of hippocampal network activity.” Institute of Science and Technology Austria, 2020.","short":"J.L. Csicsvari, I. Gridchyn, P. Schönenberger, (2020).","mla":"Csicsvari, Jozsef L., et al. <i>Optogenetic Alteration of Hippocampal Network Activity</i>. Institute of Science and Technology Austria, 2020, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:8563\">10.15479/AT:ISTA:8563</a>.","ista":"Csicsvari JL, Gridchyn I, Schönenberger P. 2020. Optogenetic alteration of hippocampal network activity, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:8563\">10.15479/AT:ISTA:8563</a>."},"year":"2020","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"date_updated":"2024-02-21T12:43:41Z","type":"research_data","date_published":"2020-10-19T00:00:00Z","publisher":"Institute of Science and Technology Austria","file_date_updated":"2020-10-19T10:12:29Z","contributor":[{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","last_name":"Csicsvari","contributor_type":"project_leader","orcid":"0000-0002-5193-4036"}],"date_created":"2020-09-23T14:39:54Z","department":[{"_id":"JoCs"}],"article_processing_charge":"No","oa_version":"Published Version","title":"Optogenetic alteration of hippocampal network activity","month":"10","has_accepted_license":"1","_id":"8563","author":[{"last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"},{"id":"4B60654C-F248-11E8-B48F-1D18A9856A87","last_name":"Gridchyn","first_name":"Igor","full_name":"Gridchyn, Igor","orcid":"0000-0002-1807-1929"},{"id":"3B9D816C-F248-11E8-B48F-1D18A9856A87","full_name":"Schönenberger, Philipp","last_name":"Schönenberger","first_name":"Philipp"}]},{"publisher":"eLife Sciences Publications","article_type":"original","quality_controlled":"1","file_date_updated":"2020-11-09T09:17:40Z","article_processing_charge":"No","department":[{"_id":"JoCs"}],"date_created":"2020-11-08T23:01:25Z","publication_status":"published","intvolume":"         9","title":"Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal-interneuron connections during behavior","scopus_import":"1","_id":"8740","author":[{"full_name":"Gridchyn, Igor","orcid":"0000-0002-1807-1929","last_name":"Gridchyn","first_name":"Igor","id":"4B60654C-F248-11E8-B48F-1D18A9856A87"},{"id":"3B9D816C-F248-11E8-B48F-1D18A9856A87","full_name":"Schönenberger, Philipp","first_name":"Philipp","last_name":"Schönenberger"},{"id":"426376DC-F248-11E8-B48F-1D18A9856A87","last_name":"O'Neill","first_name":"Joseph","full_name":"O'Neill, Joseph"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L"}],"acknowledgement":"We thank Michele Nardin and Federico Stella for comments on an earlier version of the manuscript. K Deisseroth for providing the pAAV-CaMKIIα::eNpHR3.0-YFP plasmid through Addgene. E Boyden for providing AAV2/1.CaMKII::ArchT.GFP.WPRE.SV40 plasmid through Penn Vector Core. This work was supported by the Austrian Science Fund (I02072 and I03713) and a Swiss National Science Foundation grant to PS. The authors declare no conflicts of interest.","volume":9,"ddc":["570"],"day":"05","doi":"10.7554/eLife.61106","abstract":[{"lang":"eng","text":"In vitro work revealed that excitatory synaptic inputs to hippocampal inhibitory interneurons could undergo Hebbian, associative, or non-associative plasticity. Both behavioral and learning-dependent reorganization of these connections has also been demonstrated by measuring spike transmission probabilities in pyramidal cell-interneuron spike cross-correlations that indicate monosynaptic connections. Here we investigated the activity-dependent modification of these connections during exploratory behavior in rats by optogenetically inhibiting pyramidal cell and interneuron subpopulations. Light application and associated firing alteration of pyramidal and interneuron populations led to lasting changes in pyramidal-interneuron connection weights as indicated by spike transmission changes. Spike transmission alterations were predicted by the light-mediated changes in the number of pre- and postsynaptic spike pairing events and by firing rate changes of interneurons but not pyramidal cells. This work demonstrates the presence of activity-dependent associative and non-associative reorganization of pyramidal-interneuron connections triggered by the optogenetic modification of the firing rate and spike synchrony of cells."}],"citation":{"chicago":"Gridchyn, Igor, Philipp Schönenberger, Joseph O’Neill, and Jozsef L Csicsvari. “Optogenetic Inhibition-Mediated Activity-Dependent Modification of CA1 Pyramidal-Interneuron Connections during Behavior.” <i>ELife</i>. eLife Sciences Publications, 2020. <a href=\"https://doi.org/10.7554/eLife.61106\">https://doi.org/10.7554/eLife.61106</a>.","ieee":"I. Gridchyn, P. Schönenberger, J. O’Neill, and J. L. Csicsvari, “Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal-interneuron connections during behavior,” <i>eLife</i>, vol. 9. eLife Sciences Publications, 2020.","ama":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal-interneuron connections during behavior. <i>eLife</i>. 2020;9. doi:<a href=\"https://doi.org/10.7554/eLife.61106\">10.7554/eLife.61106</a>","apa":"Gridchyn, I., Schönenberger, P., O’Neill, J., &#38; Csicsvari, J. L. (2020). Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal-interneuron connections during behavior. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/eLife.61106\">https://doi.org/10.7554/eLife.61106</a>","ista":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. 2020. Optogenetic inhibition-mediated activity-dependent modification of CA1 pyramidal-interneuron connections during behavior. eLife. 9, 61106.","short":"I. Gridchyn, P. Schönenberger, J. O’Neill, J.L. Csicsvari, ELife 9 (2020).","mla":"Gridchyn, Igor, et al. “Optogenetic Inhibition-Mediated Activity-Dependent Modification of CA1 Pyramidal-Interneuron Connections during Behavior.” <i>ELife</i>, vol. 9, 61106, eLife Sciences Publications, 2020, doi:<a href=\"https://doi.org/10.7554/eLife.61106\">10.7554/eLife.61106</a>."},"year":"2020","date_updated":"2024-02-21T12:43:40Z","external_id":{"isi":["000584369000001"]},"isi":1,"language":[{"iso":"eng"}],"project":[{"grant_number":"I2072-B27","name":"Interneuron plasticity during spatial learning","_id":"257D4372-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"call_identifier":"FWF","_id":"2654F984-B435-11E9-9278-68D0E5697425","grant_number":"I03713","name":"Interneuro Plasticity During Spatial Learning"}],"oa_version":"Published Version","article_number":"61106","month":"10","has_accepted_license":"1","publication":"eLife","file":[{"checksum":"6a7b0543c440f4c000a1864e69377d95","file_size":447669,"date_created":"2020-11-09T09:17:40Z","content_type":"application/pdf","file_name":"2020_eLife_Gridchyn.pdf","date_updated":"2020-11-09T09:17:40Z","access_level":"open_access","success":1,"relation":"main_file","creator":"dernst","file_id":"8749"}],"related_material":{"record":[{"status":"public","id":"8563","relation":"research_data"}]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","publication_identifier":{"eissn":["2050084X"]},"oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2020-10-05T00:00:00Z"},{"year":"2020","citation":{"ama":"Stella F, Urdapilleta E, Luo Y, Treves A. Partial coherence and frustration in self-organizing spherical grids. <i>Hippocampus</i>. 2020;30(4):302-313. doi:<a href=\"https://doi.org/10.1002/hipo.23144\">10.1002/hipo.23144</a>","apa":"Stella, F., Urdapilleta, E., Luo, Y., &#38; Treves, A. (2020). Partial coherence and frustration in self-organizing spherical grids. <i>Hippocampus</i>. Wiley. <a href=\"https://doi.org/10.1002/hipo.23144\">https://doi.org/10.1002/hipo.23144</a>","chicago":"Stella, Federico, Eugenio Urdapilleta, Yifan Luo, and Alessandro Treves. “Partial Coherence and Frustration in Self-Organizing Spherical Grids.” <i>Hippocampus</i>. Wiley, 2020. <a href=\"https://doi.org/10.1002/hipo.23144\">https://doi.org/10.1002/hipo.23144</a>.","ieee":"F. Stella, E. Urdapilleta, Y. Luo, and A. Treves, “Partial coherence and frustration in self-organizing spherical grids,” <i>Hippocampus</i>, vol. 30, no. 4. Wiley, pp. 302–313, 2020.","mla":"Stella, Federico, et al. “Partial Coherence and Frustration in Self-Organizing Spherical Grids.” <i>Hippocampus</i>, vol. 30, no. 4, Wiley, 2020, pp. 302–13, doi:<a href=\"https://doi.org/10.1002/hipo.23144\">10.1002/hipo.23144</a>.","short":"F. Stella, E. Urdapilleta, Y. Luo, A. Treves, Hippocampus 30 (2020) 302–313.","ista":"Stella F, Urdapilleta E, Luo Y, Treves A. 2020. Partial coherence and frustration in self-organizing spherical grids. Hippocampus. 30(4), 302–313."},"date_updated":"2023-08-17T13:53:14Z","external_id":{"pmid":["31339190"],"isi":["000477299600001"]},"isi":1,"day":"01","doi":"10.1002/hipo.23144","abstract":[{"text":"Nearby grid cells have been observed to express a remarkable degree of long-rangeorder, which is often idealized as extending potentially to infinity. Yet their strict peri-odic firing and ensemble coherence are theoretically possible only in flat environments, much unlike the burrows which rodents usually live in. Are the symmetrical, coherent grid maps inferred in the lab relevant to chart their way in their natural habitat? We consider spheres as simple models of curved environments and waiting for the appropriate experiments to be performed, we use our adaptation model to predict what grid maps would emerge in a network with the same type of recurrent connections, which on the plane produce coherence among the units. We find that on the sphere such connections distort the maps that single grid units would express on their own, and aggregate them into clusters. When remapping to a different spherical environment, units in each cluster maintain only partial coherence, similar to what is observed in disordered materials, such as spin glasses.","lang":"eng"}],"volume":30,"ddc":["570"],"scopus_import":"1","pmid":1,"_id":"6796","issue":"4","author":[{"last_name":"Stella","first_name":"Federico","full_name":"Stella, Federico","orcid":"0000-0001-9439-3148","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Eugenio","last_name":"Urdapilleta","full_name":"Urdapilleta, Eugenio"},{"full_name":"Luo, Yifan","last_name":"Luo","first_name":"Yifan"},{"last_name":"Treves","first_name":"Alessandro","full_name":"Treves, Alessandro"}],"department":[{"_id":"JoCs"}],"date_created":"2019-08-11T21:59:24Z","article_processing_charge":"No","publication_status":"published","intvolume":"        30","title":"Partial coherence and frustration in self-organizing spherical grids","quality_controlled":"1","page":"302-313","file_date_updated":"2020-07-14T12:47:40Z","publisher":"Wiley","article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2020-04-01T00:00:00Z","publication_identifier":{"issn":["10509631"],"eissn":["10981063"]},"oa":1,"file":[{"creator":"dernst","file_id":"6800","access_level":"open_access","relation":"main_file","file_name":"2019_Hippocampus_Stella.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:47:40Z","checksum":"7b54d22bfbfc0d1188a9ea24d985bfb2","file_size":2370658,"date_created":"2019-08-12T07:53:33Z"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","has_accepted_license":"1","publication":"Hippocampus","oa_version":"Published Version","month":"04","language":[{"iso":"eng"}]},{"volume":106,"acknowledgement":"We thank Todor Asenov and Thomas Menner from the Machine Shop for the drive design and production, Hugo Malagon-Vina for assistance in maze automatization, Jago Wallenschus for taking the images of the histology, and Federico Stella and Juan Felipe Ramirez-Villegas for comments on an earlier version of the manuscript. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616 ).","abstract":[{"lang":"eng","text":"Temporally organized reactivation of experiences during awake immobility periods is thought to underlie cognitive processes like planning and evaluation. While replay of trajectories is well established for the hippocampus, it is unclear whether the medial prefrontal cortex (mPFC) can reactivate sequential behavioral experiences in the awake state to support task execution. We simultaneously recorded from hippocampal and mPFC principal neurons in rats performing a mPFC-dependent rule-switching task on a plus maze. We found that mPFC neuronal activity encoded relative positions between the start and goal. During awake immobility periods, the mPFC replayed temporally organized sequences of these generalized positions, resembling entire spatial trajectories. The occurrence of mPFC trajectory replay positively correlated with rule-switching performance. However, hippocampal and mPFC trajectory replay occurred independently, indicating different functions. These results demonstrate that the mPFC can replay ordered activity patterns representing generalized locations and suggest that mPFC replay might have a role in flexible behavior."}],"day":"08","doi":"10.1016/j.neuron.2020.01.015","external_id":{"pmid":["32032512"],"isi":["000525319300016"]},"isi":1,"year":"2020","citation":{"chicago":"Käfer, Karola, Michele Nardin, Karel Blahna, and Jozsef L Csicsvari. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">https://doi.org/10.1016/j.neuron.2020.01.015</a>.","ieee":"K. Käfer, M. Nardin, K. Blahna, and J. L. Csicsvari, “Replay of behavioral sequences in the medial prefrontal cortex during rule switching,” <i>Neuron</i>, vol. 106, no. 1. Elsevier, p. P154–165.e6, 2020.","ama":"Käfer K, Nardin M, Blahna K, Csicsvari JL. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. <i>Neuron</i>. 2020;106(1):P154-165.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">10.1016/j.neuron.2020.01.015</a>","apa":"Käfer, K., Nardin, M., Blahna, K., &#38; Csicsvari, J. L. (2020). Replay of behavioral sequences in the medial prefrontal cortex during rule switching. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">https://doi.org/10.1016/j.neuron.2020.01.015</a>","ista":"Käfer K, Nardin M, Blahna K, Csicsvari JL. 2020. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. Neuron. 106(1), P154–165.e6.","mla":"Käfer, Karola, et al. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” <i>Neuron</i>, vol. 106, no. 1, Elsevier, 2020, p. P154–165.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">10.1016/j.neuron.2020.01.015</a>.","short":"K. Käfer, M. Nardin, K. Blahna, J.L. Csicsvari, Neuron 106 (2020) P154–165.e6."},"date_updated":"2023-08-17T14:38:02Z","article_type":"original","publisher":"Elsevier","ec_funded":1,"quality_controlled":"1","page":"P154-165.e6","intvolume":"       106","title":"Replay of behavioral sequences in the medial prefrontal cortex during rule switching","article_processing_charge":"No","department":[{"_id":"JoCs"}],"date_created":"2020-02-10T15:45:48Z","publication_status":"published","issue":"1","author":[{"id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","full_name":"Käfer, Karola","last_name":"Käfer","first_name":"Karola"},{"last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"id":"3EA859AE-F248-11E8-B48F-1D18A9856A87","first_name":"Karel","last_name":"Blahna","full_name":"Blahna, Karel"},{"last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","pmid":1,"_id":"7472","status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","related_material":{"link":[{"url":"https://ist.ac.at/en/news/this-brain-area-helps-us-decide/","relation":"press_release","description":"News on IST Homepage"}]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2020.01.015"}],"oa":1,"publication_identifier":{"issn":["0896-6273"]},"type":"journal_article","date_published":"2020-04-08T00:00:00Z","language":[{"iso":"eng"}],"month":"04","project":[{"call_identifier":"FP7","_id":"257BBB4C-B435-11E9-9278-68D0E5697425","name":"Inter-and intracellular signalling in schizophrenia","grant_number":"607616"}],"oa_version":"Published Version","acknowledged_ssus":[{"_id":"M-Shop"}],"publication":"Neuron"},{"month":"04","oa_version":"Published Version","project":[{"call_identifier":"FP7","_id":"257A4776-B435-11E9-9278-68D0E5697425","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","grant_number":"281511"}],"publication":"Neuron","language":[{"iso":"eng"}],"oa":1,"publication_identifier":{"issn":["08966273"],"eissn":["10974199"]},"date_published":"2020-04-22T00:00:00Z","type":"journal_article","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","related_material":{"link":[{"url":"https://ist.ac.at/en/news/librarian-of-memory/","relation":"press_release","description":"News on IST Homepage"}]},"main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2020.01.021","open_access":"1"}],"title":"Assembly-specific disruption of hippocampal replay leads to selective memory deficit","intvolume":"       106","publication_status":"published","department":[{"_id":"JoCs"}],"date_created":"2020-04-26T22:00:45Z","article_processing_charge":"No","author":[{"first_name":"Igor","last_name":"Gridchyn","orcid":"0000-0002-1807-1929","full_name":"Gridchyn, Igor","id":"4B60654C-F248-11E8-B48F-1D18A9856A87"},{"id":"3B9D816C-F248-11E8-B48F-1D18A9856A87","full_name":"Schönenberger, Philipp","last_name":"Schönenberger","first_name":"Philipp"},{"id":"426376DC-F248-11E8-B48F-1D18A9856A87","full_name":"O'Neill, Joseph","first_name":"Joseph","last_name":"O'Neill"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L"}],"issue":"2","pmid":1,"_id":"7684","scopus_import":"1","article_type":"original","publisher":"Elsevier","page":"291-300.e6","ec_funded":1,"quality_controlled":"1","doi":"10.1016/j.neuron.2020.01.021","day":"22","isi":1,"external_id":{"isi":["000528268200013"],"pmid":["32070475"]},"date_updated":"2023-08-21T06:15:31Z","year":"2020","citation":{"apa":"Gridchyn, I., Schönenberger, P., O’Neill, J., &#38; Csicsvari, J. L. (2020). Assembly-specific disruption of hippocampal replay leads to selective memory deficit. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">https://doi.org/10.1016/j.neuron.2020.01.021</a>","ama":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. Assembly-specific disruption of hippocampal replay leads to selective memory deficit. <i>Neuron</i>. 2020;106(2):291-300.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">10.1016/j.neuron.2020.01.021</a>","ieee":"I. Gridchyn, P. Schönenberger, J. O’Neill, and J. L. Csicsvari, “Assembly-specific disruption of hippocampal replay leads to selective memory deficit,” <i>Neuron</i>, vol. 106, no. 2. Elsevier, p. 291–300.e6, 2020.","chicago":"Gridchyn, Igor, Philipp Schönenberger, Joseph O’Neill, and Jozsef L Csicsvari. “Assembly-Specific Disruption of Hippocampal Replay Leads to Selective Memory Deficit.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">https://doi.org/10.1016/j.neuron.2020.01.021</a>.","short":"I. Gridchyn, P. Schönenberger, J. O’Neill, J.L. Csicsvari, Neuron 106 (2020) 291–300.e6.","mla":"Gridchyn, Igor, et al. “Assembly-Specific Disruption of Hippocampal Replay Leads to Selective Memory Deficit.” <i>Neuron</i>, vol. 106, no. 2, Elsevier, 2020, p. 291–300.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">10.1016/j.neuron.2020.01.021</a>.","ista":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. 2020. Assembly-specific disruption of hippocampal replay leads to selective memory deficit. Neuron. 106(2), 291–300.e6."},"volume":106},{"has_accepted_license":"1","month":"08","oa_version":"Published Version","language":[{"iso":"eng"}],"type":"dissertation","date_published":"2019-08-24T00:00:00Z","oa":1,"supervisor":[{"first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"publication_identifier":{"issn":["2663-337X"]},"status":"public","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","related_material":{"record":[{"id":"5949","relation":"part_of_dissertation","status":"public"}]},"file":[{"date_created":"2019-09-03T08:07:13Z","embargo":"2020-09-05","checksum":"2664420e332a33338568f4f3bfc59287","file_size":3205202,"date_updated":"2020-09-06T22:30:03Z","file_name":"Thesis_Kaefer_PDFA.pdf","content_type":"application/pdf","request_a_copy":0,"access_level":"open_access","relation":"main_file","file_id":"6846","creator":"kkaefer"},{"creator":"kkaefer","file_id":"6847","access_level":"closed","relation":"main_file","file_name":"Thesis_Kaefer.zip","content_type":"application/zip","date_updated":"2020-09-15T22:30:05Z","file_size":2506835,"checksum":"9a154eab6f07aa590a3d2651dc0d926a","embargo_to":"open_access","date_created":"2019-09-03T08:07:17Z"}],"author":[{"id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","last_name":"Käfer","first_name":"Karola","full_name":"Käfer, Karola"}],"_id":"6825","alternative_title":["ISTA Thesis"],"title":"The hippocampus and medial prefrontal cortex during flexible behavior","date_created":"2019-08-21T15:00:57Z","department":[{"_id":"JoCs"}],"article_processing_charge":"No","publication_status":"published","file_date_updated":"2020-09-15T22:30:05Z","page":"89","publisher":"Institute of Science and Technology Austria","citation":{"mla":"Käfer, Karola. <i>The Hippocampus and Medial Prefrontal Cortex during Flexible Behavior</i>. Institute of Science and Technology Austria, 2019, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6825\">10.15479/AT:ISTA:6825</a>.","short":"K. Käfer, The Hippocampus and Medial Prefrontal Cortex during Flexible Behavior, Institute of Science and Technology Austria, 2019.","ista":"Käfer K. 2019. The hippocampus and medial prefrontal cortex during flexible behavior. Institute of Science and Technology Austria.","ama":"Käfer K. The hippocampus and medial prefrontal cortex during flexible behavior. 2019. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6825\">10.15479/AT:ISTA:6825</a>","apa":"Käfer, K. (2019). <i>The hippocampus and medial prefrontal cortex during flexible behavior</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:6825\">https://doi.org/10.15479/AT:ISTA:6825</a>","ieee":"K. Käfer, “The hippocampus and medial prefrontal cortex during flexible behavior,” Institute of Science and Technology Austria, 2019.","chicago":"Käfer, Karola. “The Hippocampus and Medial Prefrontal Cortex during Flexible Behavior.” Institute of Science and Technology Austria, 2019. <a href=\"https://doi.org/10.15479/AT:ISTA:6825\">https://doi.org/10.15479/AT:ISTA:6825</a>."},"year":"2019","date_updated":"2023-09-07T13:01:42Z","abstract":[{"text":"The solving of complex tasks requires the functions of more than one brain area and their interaction. Whilst spatial navigation and memory is dependent on the hippocampus, flexible behavior relies on the medial prefrontal cortex (mPFC). To further examine the roles of the hippocampus and mPFC, we recorded their neural activity during a task that depends on both of these brain regions.\r\nWith tetrodes, we recorded the extracellular activity of dorsal hippocampal CA1 (HPC) and mPFC neurons in Long-Evans rats performing a rule-switching task on the plus-maze. The plus-maze task had a spatial component since it required navigation along one of the two start arms and at the maze center a choice between one of the two goal arms. Which goal contained a reward depended on the rule currently in place. After an uncued rule change the animal had to abandon the old strategy and switch to the new rule, testing cognitive flexibility. Investigating the coordination of activity between the HPC and mPFC allows determination during which task stages their interaction is required. Additionally, comparing neural activity patterns in these two brain regions allows delineation of the specialized functions of the HPC and mPFC in this task. We analyzed neural activity in the HPC and mPFC in terms of oscillatory interactions, rule coding and replay.\r\nWe found that theta coherence between the HPC and mPFC is increased at the center and goals of the maze, both when the rule was stable or has changed. Similar results were found for locking of HPC and mPFC neurons to HPC theta oscillations. However, no differences in HPC-mPFC theta coordination were observed between the spatially- and cue-guided rule. Phase locking of HPC and mPFC neurons to HPC gamma oscillations was not modulated by\r\nmaze position or rule type. We found that the HPC coded for the two different rules with cofiring relationships between\r\ncell pairs. However, we could not find conclusive evidence for rule coding in the mPFC. Spatially-selective firing in the mPFC generalized between the two start and two goal arms. With Bayesian positional decoding, we found that the mPFC reactivated non-local positions during awake immobility periods. Replay of these non-local positions could represent entire behavioral trajectories resembling trajectory replay of the HPC. Furthermore, mPFC\r\ntrajectory-replay at the goal positively correlated with rule-switching performance. \r\nFinally, HPC and mPFC trajectory replay occurred independently of each other. These results show that the mPFC can replay ordered patterns of activity during awake immobility, possibly underlying its role in flexible behavior. ","lang":"eng"}],"day":"24","doi":"10.15479/AT:ISTA:6825","degree_awarded":"PhD","ddc":["570"]},{"ddc":["570"],"citation":{"ieee":"D. K. Rangel Guerrero, “The role of CCK-interneurons in regulating hippocampal network dynamics,” Institute of Science and Technology Austria, 2019.","chicago":"Rangel Guerrero, Dámaris K. “The Role of CCK-Interneurons in Regulating Hippocampal Network Dynamics.” Institute of Science and Technology Austria, 2019. <a href=\"https://doi.org/10.15479/AT:ISTA:6849\">https://doi.org/10.15479/AT:ISTA:6849</a>.","apa":"Rangel Guerrero, D. K. (2019). <i>The role of CCK-interneurons in regulating hippocampal network dynamics</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:6849\">https://doi.org/10.15479/AT:ISTA:6849</a>","ama":"Rangel Guerrero DK. The role of CCK-interneurons in regulating hippocampal network dynamics. 2019. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6849\">10.15479/AT:ISTA:6849</a>","ista":"Rangel Guerrero DK. 2019. The role of CCK-interneurons in regulating hippocampal network dynamics. Institute of Science and Technology Austria.","short":"D.K. Rangel Guerrero, The Role of CCK-Interneurons in Regulating Hippocampal Network Dynamics, Institute of Science and Technology Austria, 2019.","mla":"Rangel Guerrero, Dámaris K. <i>The Role of CCK-Interneurons in Regulating Hippocampal Network Dynamics</i>. Institute of Science and Technology Austria, 2019, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6849\">10.15479/AT:ISTA:6849</a>."},"year":"2019","date_updated":"2023-09-19T10:01:12Z","day":"09","degree_awarded":"PhD","doi":"10.15479/AT:ISTA:6849","abstract":[{"lang":"eng","text":"Brain function is mediated by complex dynamical interactions between excitatory and inhibitory cell types. The Cholecystokinin-expressing inhibitory cells (CCK-interneurons) are one of the least studied types, despite being suspected to play important roles in cognitive processes. We studied the network effects of optogenetic silencing of CCK-interneurons in the CA1 hippocampal area during exploration and sleep states. The cell firing pattern in response to light pulses allowed us to classify the recorded neurons in 5 classes, including disinhibited and non-responsive pyramidal cell and interneurons, and the inhibited interneurons corresponding to the CCK group. The light application, which inhibited the activity of CCK interneurons triggered wider changes in the firing dynamics of cells. We observed rate changes (i.e. remapping) of pyramidal cells during the exploration session in which the light was applied relative to the previous control session that was not restricted neither in time nor space to the light delivery. Also, the disinhibited pyramidal cells had higher increase in bursting than in single spike firing rate as a result of CCK silencing. In addition, the firing activity patterns during exploratory periods were more weakly reactivated in sleep for those periods in which CCK-interneuron were silenced than in the unaffected periods. Furthermore, light pulses during sleep disrupted the reactivation of recent waking patterns. Hence, silencing CCK neurons during exploration suppressed the reactivation of waking firing patterns in sleep and CCK interneuron activity was also required during sleep for the normal reactivation of waking patterns. These findings demonstrate the involvement of CCK cells in reactivation-related memory consolidation. An important part of our analysis was to test the relationship of the identified CCKinterneurons to brain oscillations. Our findings showed that these cells exhibited different oscillatory behaviour during anaesthesia and natural waking and sleep conditions. We showed that: 1) Contrary to the past studies performed under anaesthesia, the identified CCKinterneurons fired on the descending portion of the theta phase in waking exploration. 2) CCKinterneuron preferred phases around the trough of gamma oscillations. 3) Contrary to anaesthesia conditions, the average firing rate of the CCK-interneurons increased around the peak activity of the sharp-wave ripple (SWR) events in natural sleep, which is congruent with new reports about their functional connectivity. We also found that light driven CCK-interneuron silencing altered the dynamics on the CA1 network oscillatory activity: 1) Pyramidal cells negatively shifted their preferred theta phases when the light was applied, while interneurons responses were less consistent. 2) As a population, pyramidal cells negatively shifted their preferred activity during gamma oscillations, albeit we did not find gamma modulation differences related to the light application when pyramidal cells were subdivided into the disinhibited and unaffected groups. 3) During the peak of SWR events, all but the CCK-interneurons had a reduction in their relative firing rate change during the light application as compared to the change observed at SWR initiation. Finally, regarding to the place field activity of the recorded pyramidal neurons, we showed that the disinhibited pyramidal cells had reduced place field similarity, coherence and spatial information, but only during the light application. The mechanisms behind such observed behaviours might involve eCB signalling and plastic changes in CCK-interneuron synapses. In conclusion, the observed changes related to the light-mediated silencing of CCKinterneurons have unravelled characteristics of this interneuron subpopulation that might change the understanding not only of their particular network interactions, but also of the current theories about the emergence of certain cognitive processes such as place coding needed for navigation or hippocampus-dependent memory consolidation. "}],"page":"97","file_date_updated":"2021-02-10T23:30:09Z","publisher":"Institute of Science and Technology Austria","_id":"6849","author":[{"id":"4871BCE6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8602-4374","full_name":"Rangel Guerrero, Dámaris K","first_name":"Dámaris K","last_name":"Rangel Guerrero"}],"department":[{"_id":"JoCs"}],"date_created":"2019-09-06T06:54:16Z","article_processing_charge":"No","publication_status":"published","alternative_title":["ISTA Thesis"],"title":"The role of CCK-interneurons in regulating hippocampal network dynamics","file":[{"date_updated":"2021-02-10T23:30:09Z","file_name":"Thesis_Damaris_Rangel_source.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","date_created":"2019-09-09T13:09:45Z","embargo_to":"open_access","file_size":18253100,"checksum":"244dc4f74dbfc94f414156092298831f","file_id":"6865","creator":"drangel","access_level":"closed","relation":"source_file"},{"creator":"drangel","file_id":"6866","relation":"main_file","access_level":"open_access","request_a_copy":0,"content_type":"application/pdf","file_name":"Thesis_Damaris_Rangel_pdfa.pdf","date_updated":"2020-09-11T22:30:04Z","file_size":2160109,"checksum":"59c73be40eeaa1c4db24067270151555","embargo":"2020-09-10","date_created":"2019-09-09T13:09:52Z"}],"related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"5914"}]},"status":"public","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","type":"dissertation","date_published":"2019-09-09T00:00:00Z","publication_identifier":{"isbn":["9783990780039"],"issn":["2663-337X"]},"oa":1,"supervisor":[{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari"}],"language":[{"iso":"eng"}],"has_accepted_license":"1","oa_version":"Published Version","acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"},{"_id":"M-Shop"}],"month":"09"}]