[{"publication_identifier":{"eissn":["1529-2401"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2023-12-11T11:37:20Z","external_id":{"pmid":["37758476"]},"scopus_import":"1","year":"2023","oa_version":"Published Version","has_accepted_license":"1","article_type":"original","volume":43,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"file_date_updated":"2023-12-11T11:30:37Z","oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1523/JNEUROSCI.0194-23.2023"}],"license":"https://creativecommons.org/licenses/by/4.0/","publication_status":"published","date_published":"2023-11-29T00:00:00Z","_id":"14656","abstract":[{"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.","lang":"eng"}],"file":[{"file_id":"14674","relation":"main_file","content_type":"application/pdf","embargo_to":"open_access","date_created":"2023-12-11T11:30:37Z","embargo":"2024-06-01","creator":"dernst","file_size":2280632,"file_name":"2023_JourNeuroscience_Nardin.pdf","access_level":"closed","date_updated":"2023-12-11T11:30:37Z","checksum":"e2503c8f84be1050e28f64320f1d5bd2"}],"issue":"48","article_processing_charge":"Yes (in subscription journal)","ddc":["570"],"doi":"10.1523/JNEUROSCI.0194-23.2023","language":[{"iso":"eng"}],"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.","project":[{"grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","call_identifier":"FP7","_id":"257A4776-B435-11E9-9278-68D0E5697425"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","grant_number":"P34015","name":"Efficient coding with biophysical realism"},{"grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"pmid":1,"type":"journal_article","author":[{"first_name":"Michele","full_name":"Nardin, Michele","last_name":"Nardin","orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036"},{"orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","full_name":"Tkačik, Gašper","first_name":"Gašper","last_name":"Tkačik"},{"full_name":"Savin, Cristina","first_name":"Cristina","last_name":"Savin","id":"3933349E-F248-11E8-B48F-1D18A9856A87"}],"day":"29","title":"The structure of hippocampal CA1 interactions optimizes spatial coding across experience","ec_funded":1,"citation":{"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.","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>.","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>.","short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience 43 (2023) 8140–8156.","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>","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>"},"status":"public","intvolume":"        43","quality_controlled":"1","department":[{"_id":"JoCs"},{"_id":"GaTk"}],"publication":"The Journal of Neuroscience","publisher":"Society of Neuroscience","date_created":"2023-12-10T23:00:58Z","month":"11","page":"8140-8156"},{"has_accepted_license":"1","year":"2023","oa_version":"Published Version","article_type":"original","publication_identifier":{"issn":["0270-6474"],"eissn":["1529-2401"]},"acknowledged_ssus":[{"_id":"EM-Fac"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2023-10-18T07:12:47Z","external_id":{"pmid":["37160366"],"isi":["001020132100005"]},"scopus_import":"1","_id":"13202","date_published":"2023-06-07T00:00:00Z","abstract":[{"text":"Phosphatidylinositol-4,5-bisphosphate (PI(4,5)P2) plays an essential role in neuronal activities through interaction with various proteins involved in signaling at membranes. However, the distribution pattern of PI(4,5)P2 and the association with these proteins on the neuronal cell membranes remain elusive. In this study, we established a method for visualizing PI(4,5)P2 by SDS-digested freeze-fracture replica labeling (SDS-FRL) to investigate the quantitative nanoscale distribution of PI(4,5)P2 in cryo-fixed brain. We demonstrate that PI(4,5)P2 forms tiny clusters with a mean size of ∼1000 nm2 rather than randomly distributed in cerebellar neuronal membranes in male C57BL/6J mice. These clusters show preferential accumulation in specific membrane compartments of different cell types, in particular, in Purkinje cell (PC) spines and granule cell (GC) presynaptic active zones. Furthermore, we revealed extensive association of PI(4,5)P2 with CaV2.1 and GIRK3 across different membrane compartments, whereas its association with mGluR1α was compartment specific. These results suggest that our SDS-FRL method provides valuable insights into the physiological functions of PI(4,5)P2 in neurons.","lang":"eng"}],"file":[{"checksum":"70b2141870e0bf1c94fd343e18fdbc32","access_level":"open_access","date_updated":"2023-07-10T09:04:58Z","file_size":7794425,"creator":"alisjak","file_name":"2023_JN_Eguchi.pdf","date_created":"2023-07-10T09:04:58Z","success":1,"relation":"main_file","file_id":"13205","content_type":"application/pdf"}],"issue":"23","article_processing_charge":"No","volume":43,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"file_date_updated":"2023-07-10T09:04:58Z","oa":1,"publication_status":"published","type":"journal_article","author":[{"first_name":"Kohgaku","full_name":"Eguchi, Kohgaku","last_name":"Eguchi","orcid":"0000-0002-6170-2546","id":"2B7846DC-F248-11E8-B48F-1D18A9856A87"},{"id":"3B59276A-F248-11E8-B48F-1D18A9856A87","last_name":"Le Monnier","first_name":"Elodie","full_name":"Le Monnier, Elodie"},{"last_name":"Shigemoto","first_name":"Ryuichi","full_name":"Shigemoto, Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8761-9444"}],"day":"07","title":"Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons","ec_funded":1,"citation":{"chicago":"Eguchi, Kohgaku, Elodie Le Monnier, and Ryuichi Shigemoto. “Nanoscale Phosphoinositide Distribution on Cell Membranes of Mouse Cerebellar Neurons.” <i>The Journal of Neuroscience</i>. Society for Neuroscience, 2023. <a href=\"https://doi.org/10.1523/JNEUROSCI.1514-22.2023\">https://doi.org/10.1523/JNEUROSCI.1514-22.2023</a>.","ieee":"K. Eguchi, E. Le Monnier, and R. Shigemoto, “Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons,” <i>The Journal of Neuroscience</i>, vol. 43, no. 23. Society for Neuroscience, pp. 4197–4216, 2023.","ista":"Eguchi K, Le Monnier E, Shigemoto R. 2023. Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons. The Journal of Neuroscience. 43(23), 4197–4216.","mla":"Eguchi, Kohgaku, et al. “Nanoscale Phosphoinositide Distribution on Cell Membranes of Mouse Cerebellar Neurons.” <i>The Journal of Neuroscience</i>, vol. 43, no. 23, Society for Neuroscience, 2023, pp. 4197–216, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.1514-22.2023\">10.1523/JNEUROSCI.1514-22.2023</a>.","short":"K. Eguchi, E. Le Monnier, R. Shigemoto, The Journal of Neuroscience 43 (2023) 4197–4216.","ama":"Eguchi K, Le Monnier E, Shigemoto R. Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons. <i>The Journal of Neuroscience</i>. 2023;43(23):4197-4216. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.1514-22.2023\">10.1523/JNEUROSCI.1514-22.2023</a>","apa":"Eguchi, K., Le Monnier, E., &#38; Shigemoto, R. (2023). Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons. <i>The Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.1514-22.2023\">https://doi.org/10.1523/JNEUROSCI.1514-22.2023</a>"},"ddc":["570"],"doi":"10.1523/JNEUROSCI.1514-22.2023","language":[{"iso":"eng"}],"acknowledgement":"This work was supported by The Institute of Science and Technology (IST) Austria, the European Union's Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie Grant Agreement No. 793482 (to K.E.) and by the European Research Council (ERC) Grant Agreement No. 694539 (to R.S.). We thank Nicoleta Condruz (IST Austria, Klosterneuburg, Austria) for technical assistance with sample preparation, the Electron Microscopy Facility of IST Austria (Klosterneuburg, Austria) for technical support with EM works, Natalia Baranova (University of Vienna, Vienna, Austria) and Martin Loose (IST Austria, Klosterneuburg, Austria) for advice on liposome preparation, and Yugo Fukazawa (University of Fukui, Fukui, Japan) for comments.","project":[{"name":"Ultrastructural analysis of phosphoinositides in nerve terminals: distribution, dynamics and physiological roles in synaptic transmission","grant_number":"793482","_id":"2659CC84-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"grant_number":"694539","name":"In situ analysis of single channel subunit composition in neurons: physiological implication in synaptic plasticity and behaviour","call_identifier":"H2020","_id":"25CA28EA-B435-11E9-9278-68D0E5697425"}],"pmid":1,"date_created":"2023-07-09T22:01:12Z","month":"06","page":"4197-4216","intvolume":"        43","status":"public","quality_controlled":"1","department":[{"_id":"RySh"}],"publication":"The Journal of Neuroscience","isi":1,"publisher":"Society for Neuroscience"},{"has_accepted_license":"1","year":"2021","oa_version":"Published Version","article_type":"original","publication_identifier":{"issn":["0270-6474"],"eissn":["1529-2401"]},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","date_updated":"2023-09-05T14:03:17Z","scopus_import":"1","external_id":{"isi":["000616763400002"],"pmid":["33431633"]},"issue":"5","article_processing_charge":"No","date_published":"2021-02-03T00:00:00Z","_id":"9073","abstract":[{"lang":"eng","text":"The sensory and cognitive abilities of the mammalian neocortex are underpinned by intricate columnar and laminar circuits formed from an array of diverse neuronal populations. One approach to determining how interactions between these circuit components give rise to complex behavior is to investigate the rules by which cortical circuits are formed and acquire functionality during development. This review summarizes recent research on the development of the neocortex, from genetic determination in neural stem cells through to the dynamic role that specific neuronal populations play in the earliest circuits of neocortex, and how they contribute to emergent function and cognition. While many of these endeavors take advantage of model systems, consideration will also be given to advances in our understanding of activity in nascent human circuits. Such cross-species perspective is imperative when investigating the mechanisms underlying the dysfunction of early neocortical circuits in neurodevelopmental disorders, so that one can identify targets amenable to therapeutic intervention."}],"file":[{"success":1,"date_created":"2022-05-27T06:59:55Z","relation":"main_file","file_id":"11414","content_type":"application/pdf","access_level":"open_access","date_updated":"2022-05-27T06:59:55Z","checksum":"578fd7ed1a0aef74bce61bea2d987b33","file_size":1031150,"creator":"dernst","file_name":"2021_JourNeuroscience_Hanganu.pdf"}],"oa":1,"publication_status":"published","volume":41,"file_date_updated":"2022-05-27T06:59:55Z","title":"The logic of developing neocortical circuits in health and disease","ec_funded":1,"citation":{"short":"I.L. Hanganu-Opatz, S.J.B. Butt, S. Hippenmeyer, N.V. De Marco García, J.A. Cardin, B. Voytek, A.R. Muotri, The Journal of Neuroscience 41 (2021) 813–822.","apa":"Hanganu-Opatz, I. L., Butt, S. J. B., Hippenmeyer, S., De Marco García, N. V., Cardin, J. A., Voytek, B., &#38; Muotri, A. R. (2021). The logic of developing neocortical circuits in health and disease. <i>The Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/jneurosci.1655-20.2020\">https://doi.org/10.1523/jneurosci.1655-20.2020</a>","ama":"Hanganu-Opatz IL, Butt SJB, Hippenmeyer S, et al. The logic of developing neocortical circuits in health and disease. <i>The Journal of Neuroscience</i>. 2021;41(5):813-822. doi:<a href=\"https://doi.org/10.1523/jneurosci.1655-20.2020\">10.1523/jneurosci.1655-20.2020</a>","ieee":"I. L. Hanganu-Opatz <i>et al.</i>, “The logic of developing neocortical circuits in health and disease,” <i>The Journal of Neuroscience</i>, vol. 41, no. 5. Society for Neuroscience, pp. 813–822, 2021.","ista":"Hanganu-Opatz IL, Butt SJB, Hippenmeyer S, De Marco García NV, Cardin JA, Voytek B, Muotri AR. 2021. The logic of developing neocortical circuits in health and disease. The Journal of Neuroscience. 41(5), 813–822.","chicago":"Hanganu-Opatz, Ileana L., Simon J. B. Butt, Simon Hippenmeyer, Natalia V. De Marco García, Jessica A. Cardin, Bradley Voytek, and Alysson R. Muotri. “The Logic of Developing Neocortical Circuits in Health and Disease.” <i>The Journal of Neuroscience</i>. Society for Neuroscience, 2021. <a href=\"https://doi.org/10.1523/jneurosci.1655-20.2020\">https://doi.org/10.1523/jneurosci.1655-20.2020</a>.","mla":"Hanganu-Opatz, Ileana L., et al. “The Logic of Developing Neocortical Circuits in Health and Disease.” <i>The Journal of Neuroscience</i>, vol. 41, no. 5, Society for Neuroscience, 2021, pp. 813–22, doi:<a href=\"https://doi.org/10.1523/jneurosci.1655-20.2020\">10.1523/jneurosci.1655-20.2020</a>."},"type":"journal_article","author":[{"last_name":"Hanganu-Opatz","full_name":"Hanganu-Opatz, Ileana L.","first_name":"Ileana L."},{"full_name":"Butt, Simon J. B.","first_name":"Simon J. B.","last_name":"Butt"},{"first_name":"Simon","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061"},{"full_name":"De Marco García, Natalia V.","first_name":"Natalia V.","last_name":"De Marco García"},{"last_name":"Cardin","full_name":"Cardin, Jessica A.","first_name":"Jessica A."},{"last_name":"Voytek","full_name":"Voytek, Bradley","first_name":"Bradley"},{"last_name":"Muotri","first_name":"Alysson R.","full_name":"Muotri, Alysson R."}],"day":"03","acknowledgement":"Work in the I.L.H.-O. laboratory was supported by European Research Council Grant ERC-2015-CoG 681577 and German Research Foundation Ha 4466/10-1, Ha4466/11-1, Ha4466/12-1, SPP 1665, and SFB 936B5. Work in the S.J.B.B. laboratory was supported by Biotechnology and Biological Sciences Research Council BB/P003796/1, Medical Research Council MR/K004387/1 and MR/T033320/1, Wellcome Trust 215199/Z/19/Z and 102386/Z/13/Z, and John Fell Fund. Work in the S.H. laboratory was supported by European Research Council Grants ERC-2016-CoG 725780 LinPro and FWF SFB F78. This work was supported by National Institutes of Health Grant NIMH 1R01MH110553 to N.V.D.M.G. Work in the J.A.C. laboratory was supported by the Ludwig Family Foundation, Simons Foundation SFARI Research Award, and National Institutes of Health/National Institute of Mental Health R01 MH102365 and R01MH113852. The B.V. laboratory was supported by Whitehall Foundation 2017-12-73, National Science Foundation 1736028, National Institutes of Health, National Institute of General Medical Sciences R01GM134363-01, and Halıcıoğlu Data Science Institute Fellowship. This work was supported by the University of California San Diego School of Medicine.","project":[{"grant_number":"725780","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","call_identifier":"H2020","_id":"260018B0-B435-11E9-9278-68D0E5697425"},{"name":"Molecular Mechanisms of Neural Stem Cell Lineage Progression","grant_number":"F07805","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E"}],"pmid":1,"doi":"10.1523/jneurosci.1655-20.2020","ddc":["570"],"language":[{"iso":"eng"}],"keyword":["General Neuroscience"],"page":"813-822","date_created":"2021-02-03T12:23:51Z","month":"02","isi":1,"publisher":"Society for Neuroscience","status":"public","intvolume":"        41","department":[{"_id":"SiHi"}],"quality_controlled":"1","publication":"The Journal of Neuroscience"},{"file_date_updated":"2022-05-31T09:10:15Z","volume":41,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"publication_status":"published","oa":1,"file":[{"success":1,"date_created":"2022-05-31T09:10:15Z","content_type":"application/pdf","file_id":"11423","relation":"main_file","date_updated":"2022-05-31T09:10:15Z","access_level":"open_access","checksum":"769ab627c7355a50ccfd445e43a5f351","file_name":"2021_JourNeuroscience_Butola.pdf","file_size":11571961,"creator":"dernst"}],"abstract":[{"text":"Rab-interacting molecule (RIM)-binding protein 2 (BP2) is a multidomain protein of the presynaptic active zone (AZ). By binding to RIM, bassoon (Bsn), and voltage-gated Ca2+ channels (CaV), it is considered to be a central organizer of the topography of CaV and release sites of synaptic vesicles (SVs) at the AZ. Here, we used RIM-BP2 knock-out (KO) mice and their wild-type (WT) littermates of either sex to investigate the role of RIM-BP2 at the endbulb of Held synapse of auditory nerve fibers (ANFs) with bushy cells (BCs) of the cochlear nucleus, a fast relay of the auditory pathway with high release probability. Disruption of RIM-BP2 lowered release probability altering short-term plasticity and reduced evoked EPSCs. Analysis of SV pool dynamics during high-frequency train stimulation indicated a reduction of SVs with high release probability but an overall normal size of the readily releasable SV pool (RRP). The Ca2+-dependent fast component of SV replenishment after RRP depletion was slowed. Ultrastructural analysis by superresolution light and electron microscopy revealed an impaired topography of presynaptic CaV and a reduction of docked and membrane-proximal SVs at the AZ. We conclude that RIM-BP2 organizes the topography of CaV, and promotes SV tethering and docking. This way RIM-BP2 is critical for establishing a high initial release probability as required to reliably signal sound onset information that we found to be degraded in BCs of RIM-BP2-deficient mice in vivo. SIGNIFICANCE STATEMENT: Rab-interacting molecule (RIM)-binding proteins (BPs) are key organizers of the active zone (AZ). Using a multidisciplinary approach to the calyceal endbulb of Held synapse that transmits auditory information at rates of up to hundreds of Hertz with submillisecond precision we demonstrate a requirement for RIM-BP2 for normal auditory signaling. Endbulb synapses lacking RIM-BP2 show a reduced release probability despite normal whole-terminal Ca2+ influx and abundance of the key priming protein Munc13-1, a reduced rate of SV replenishment, as well as an altered topography of voltage-gated (CaV)2.1 Ca2+ channels, and fewer docked and membrane proximal synaptic vesicles (SVs). This hampers transmission of sound onset information likely affecting downstream neural computations such as of sound localization.","lang":"eng"}],"_id":"10051","date_published":"2021-09-15T00:00:00Z","issue":"37","article_processing_charge":"No","date_updated":"2023-08-14T06:56:30Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","external_id":{"pmid":["34353898"],"isi":["000752287700005"]},"scopus_import":"1","publication_identifier":{"eissn":["1529-2401"],"issn":["0270-6474"]},"article_type":"original","has_accepted_license":"1","oa_version":"Published Version","year":"2021","department":[{"_id":"RySh"}],"quality_controlled":"1","publication":"Journal of Neuroscience","status":"public","intvolume":"        41","publisher":"Society for Neuroscience","isi":1,"month":"09","date_created":"2021-09-27T14:33:13Z","page":"7742-7767","language":[{"iso":"eng"}],"doi":"10.1523/JNEUROSCI.0586-21.2021","ddc":["570"],"acknowledgement":"This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the Collaborative Sensory Research Center 1286 [to C.W. (A4) and T.M. (B5)] and under Germany’s Excellence Strategy Grant EXC 2067/1-390729940. We thank S. Gerke, A.J. Goldak, and C. Senger-Freitag for expert technical assistance; G. Hoch for developing image analysis routines; and S. Chepurwar and N. Strenzke for technical support and discussion regarding in vivo experiments. We also thank Dr. Christian Rosenmund, Dr. Katharina Grauel, and Dr. Stephan Sigrist for providing RIM-BP2 KO mice and Dr. Masahiko Watanabe for providing the anti-neurexin-antibody, and Dr. Toshihisa Ohtsuka for the anti-ELKS-antibody. J. Neef for help with the STED imaging and image analysis; E. Neher and S. Rizzoli for discussion and comments on the manuscript; K. Eguchi for help with the statistical analysis; and C. H. Huang and J. Neef for constant support and scientific discussion.","pmid":1,"day":"15","type":"journal_article","author":[{"full_name":"Butola, Tanvi","first_name":"Tanvi","last_name":"Butola"},{"last_name":"Alvanos","full_name":"Alvanos, Theocharis","first_name":"Theocharis"},{"full_name":"Hintze, Anika","first_name":"Anika","last_name":"Hintze"},{"orcid":"0000-0002-3509-1948","id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","last_name":"Koppensteiner","first_name":"Peter","full_name":"Koppensteiner, Peter"},{"id":"42E121A4-F248-11E8-B48F-1D18A9856A87","last_name":"Kleindienst","full_name":"Kleindienst, David","first_name":"David"},{"first_name":"Ryuichi","full_name":"Shigemoto, Ryuichi","last_name":"Shigemoto","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8761-9444"},{"last_name":"Wichmann","full_name":"Wichmann, Carolin","first_name":"Carolin"},{"last_name":"Moser","first_name":"Tobias","full_name":"Moser, Tobias"}],"citation":{"ama":"Butola T, Alvanos T, Hintze A, et al. RIM-binding protein 2 organizes Ca<sup>21</sup> channel topography and regulates release probability and vesicle replenishment at a fast central synapse. <i>Journal of Neuroscience</i>. 2021;41(37):7742-7767. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0586-21.2021\">10.1523/JNEUROSCI.0586-21.2021</a>","apa":"Butola, T., Alvanos, T., Hintze, A., Koppensteiner, P., Kleindienst, D., Shigemoto, R., … Moser, T. (2021). RIM-binding protein 2 organizes Ca<sup>21</sup> channel topography and regulates release probability and vesicle replenishment at a fast central synapse. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.0586-21.2021\">https://doi.org/10.1523/JNEUROSCI.0586-21.2021</a>","short":"T. Butola, T. Alvanos, A. Hintze, P. Koppensteiner, D. Kleindienst, R. Shigemoto, C. Wichmann, T. Moser, Journal of Neuroscience 41 (2021) 7742–7767.","mla":"Butola, Tanvi, et al. “RIM-Binding Protein 2 Organizes Ca<sup>21</sup> Channel Topography and Regulates Release Probability and Vesicle Replenishment at a Fast Central Synapse.” <i>Journal of Neuroscience</i>, vol. 41, no. 37, Society for Neuroscience, 2021, pp. 7742–67, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0586-21.2021\">10.1523/JNEUROSCI.0586-21.2021</a>.","chicago":"Butola, Tanvi, Theocharis Alvanos, Anika Hintze, Peter Koppensteiner, David Kleindienst, Ryuichi Shigemoto, Carolin Wichmann, and Tobias Moser. “RIM-Binding Protein 2 Organizes Ca<sup>21</sup> Channel Topography and Regulates Release Probability and Vesicle Replenishment at a Fast Central Synapse.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2021. <a href=\"https://doi.org/10.1523/JNEUROSCI.0586-21.2021\">https://doi.org/10.1523/JNEUROSCI.0586-21.2021</a>.","ieee":"T. Butola <i>et al.</i>, “RIM-binding protein 2 organizes Ca<sup>21</sup> channel topography and regulates release probability and vesicle replenishment at a fast central synapse,” <i>Journal of Neuroscience</i>, vol. 41, no. 37. Society for Neuroscience, pp. 7742–7767, 2021.","ista":"Butola T, Alvanos T, Hintze A, Koppensteiner P, Kleindienst D, Shigemoto R, Wichmann C, Moser T. 2021. RIM-binding protein 2 organizes Ca<sup>21</sup> channel topography and regulates release probability and vesicle replenishment at a fast central synapse. Journal of Neuroscience. 41(37), 7742–7767."},"title":"RIM-binding protein 2 organizes Ca<sup>21</sup> channel topography and regulates release probability and vesicle replenishment at a fast central synapse"},{"status":"public","intvolume":"        40","publication":"Journal of Neuroscience","department":[{"_id":"GaTk"}],"quality_controlled":"1","isi":1,"publisher":"Society for Neuroscience","date_created":"2020-07-05T15:24:51Z","month":"01","page":"171-190","ddc":["570"],"doi":"10.1523/jneurosci.1278-19.2019","language":[{"iso":"eng"}],"pmid":1,"project":[{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425"}],"author":[{"orcid":"0000-0003-2623-5249","id":"A057D288-3E88-11E9-986D-0CF4E5697425","full_name":"Lombardi, Fabrizio","first_name":"Fabrizio","last_name":"Lombardi"},{"first_name":"Manuel","full_name":"Gómez-Extremera, Manuel","last_name":"Gómez-Extremera"},{"last_name":"Bernaola-Galván","full_name":"Bernaola-Galván, Pedro","first_name":"Pedro"},{"first_name":"Ramalingam","full_name":"Vetrivelan, Ramalingam","last_name":"Vetrivelan"},{"last_name":"Saper","full_name":"Saper, Clifford B.","first_name":"Clifford B."},{"first_name":"Thomas E.","full_name":"Scammell, Thomas E.","last_name":"Scammell"},{"first_name":"Plamen Ch.","full_name":"Ivanov, Plamen Ch.","last_name":"Ivanov"}],"type":"journal_article","day":"02","title":"Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake","citation":{"short":"F. Lombardi, M. Gómez-Extremera, P. Bernaola-Galván, R. Vetrivelan, C.B. Saper, T.E. Scammell, P.C. Ivanov, Journal of Neuroscience 40 (2020) 171–190.","apa":"Lombardi, F., Gómez-Extremera, M., Bernaola-Galván, P., Vetrivelan, R., Saper, C. B., Scammell, T. E., &#38; Ivanov, P. C. (2020). Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/jneurosci.1278-19.2019\">https://doi.org/10.1523/jneurosci.1278-19.2019</a>","ama":"Lombardi F, Gómez-Extremera M, Bernaola-Galván P, et al. Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake. <i>Journal of Neuroscience</i>. 2020;40(1):171-190. doi:<a href=\"https://doi.org/10.1523/jneurosci.1278-19.2019\">10.1523/jneurosci.1278-19.2019</a>","ieee":"F. Lombardi <i>et al.</i>, “Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake,” <i>Journal of Neuroscience</i>, vol. 40, no. 1. Society for Neuroscience, pp. 171–190, 2020.","ista":"Lombardi F, Gómez-Extremera M, Bernaola-Galván P, Vetrivelan R, Saper CB, Scammell TE, Ivanov PC. 2020. Critical dynamics and coupling in bursts of cortical rhythms indicate non-homeostatic mechanism for sleep-stage transitions and dual role of VLPO neurons in both sleep and wake. Journal of Neuroscience. 40(1), 171–190.","chicago":"Lombardi, Fabrizio, Manuel Gómez-Extremera, Pedro Bernaola-Galván, Ramalingam Vetrivelan, Clifford B. Saper, Thomas E. Scammell, and Plamen Ch. Ivanov. “Critical Dynamics and Coupling in Bursts of Cortical Rhythms Indicate Non-Homeostatic Mechanism for Sleep-Stage Transitions and Dual Role of VLPO Neurons in Both Sleep and Wake.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2020. <a href=\"https://doi.org/10.1523/jneurosci.1278-19.2019\">https://doi.org/10.1523/jneurosci.1278-19.2019</a>.","mla":"Lombardi, Fabrizio, et al. “Critical Dynamics and Coupling in Bursts of Cortical Rhythms Indicate Non-Homeostatic Mechanism for Sleep-Stage Transitions and Dual Role of VLPO Neurons in Both Sleep and Wake.” <i>Journal of Neuroscience</i>, vol. 40, no. 1, Society for Neuroscience, 2020, pp. 171–90, doi:<a href=\"https://doi.org/10.1523/jneurosci.1278-19.2019\">10.1523/jneurosci.1278-19.2019</a>."},"ec_funded":1,"volume":40,"file_date_updated":"2020-07-22T11:44:48Z","oa":1,"publication_status":"published","_id":"8084","abstract":[{"text":"Origin and functions of intermittent transitions among sleep stages, including brief awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing sleep on scales of seconds and minutes results from intrinsic non-equilibrium critical dynamics. We investigate θ- and δ-wave dynamics in control rats and in rats where the sleep-promoting ventrolateral preoptic nucleus (VLPO) is lesioned (male Sprague-Dawley rats). We demonstrate that bursts in θ and δ cortical rhythms exhibit complex temporal organization, with long-range correlations and robust duality of power-law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, features typical of non-equilibrium systems self-organizing at criticality. We show that such non-equilibrium behavior relates to anti-correlated coupling between θ- and δ-bursts, persists across a range of time scales, and is independent of the dominant physiologic state; indications of a basic principle in sleep regulation. Further, we find that VLPO lesions lead to a modulation of cortical dynamics resulting in altered dynamical parameters of θ- and δ-bursts and significant reduction in θ–δ coupling. Our empirical findings and model simulations demonstrate that θ–δ coupling is essential for the emerging non-equilibrium critical dynamics observed across the sleep–wake cycle, and indicate that VLPO neurons may have dual role for both sleep and arousal/brief wake activation. The uncovered critical behavior in sleep- and wake-related cortical rhythms indicates a mechanism essential for the micro-architecture of spontaneous sleep-stage and arousal transitions within a novel, non-homeostatic paradigm of sleep regulation.","lang":"eng"}],"date_published":"2020-01-02T00:00:00Z","file":[{"content_type":"application/pdf","file_id":"8150","relation":"main_file","date_created":"2020-07-22T11:44:48Z","success":1,"file_name":"2020_JournNeuroscience_Lombardi.pdf","creator":"dernst","file_size":6646046,"date_updated":"2020-07-22T11:44:48Z","access_level":"open_access"}],"article_processing_charge":"No","issue":"1","publication_identifier":{"eissn":["1529-2401"],"issn":["0270-6474"]},"scopus_import":"1","external_id":{"isi":["000505167600016"],"pmid":["31694962"]},"date_updated":"2023-09-05T14:02:55Z","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","has_accepted_license":"1","year":"2020","oa_version":"Published Version","article_type":"original"},{"oa":1,"publication_status":"published","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"volume":40,"file_date_updated":"2020-12-28T08:31:47Z","article_processing_charge":"No","issue":"50","date_published":"2020-12-09T00:00:00Z","_id":"8126","abstract":[{"lang":"eng","text":"Cortical areas comprise multiple types of inhibitory interneurons with stereotypical connectivity motifs, but their combined effect on postsynaptic dynamics has been largely unexplored. Here, we analyse the response of a single postsynaptic model neuron receiving tuned excitatory connections alongside inhibition from two plastic populations. Depending on the inhibitory plasticity rule, synapses remain unspecific (flat), become anti-correlated to, or mirror excitatory synapses. Crucially, the neuron’s receptive field, i.e., its response to presynaptic stimuli, depends on the modulatory state of inhibition. When both inhibitory populations are active, inhibition balances excitation, resulting in uncorrelated postsynaptic responses regardless of the inhibitory tuning profiles. Modulating the activity of a given inhibitory population produces strong correlations to either preferred or non-preferred inputs, in line with recent experimental findings showing dramatic context-dependent changes of neurons’ receptive fields. We thus confirm that a neuron’s receptive field doesn’t follow directly from the weight profiles of its presynaptic afferents."}],"file":[{"creator":"dernst","file_size":2750920,"file_name":"2020_JourNeuroscience_Agnes.pdf","checksum":"7977e4dd6b89357d1a5cc88babac56da","access_level":"open_access","date_updated":"2020-12-28T08:31:47Z","relation":"main_file","file_id":"8977","content_type":"application/pdf","date_created":"2020-12-28T08:31:47Z","success":1}],"publication_identifier":{"eissn":["1529-2401"]},"scopus_import":"1","external_id":{"pmid":["33168622"],"isi":["000606706400009"]},"date_updated":"2023-08-22T07:54:26Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","oa_version":"Published Version","year":"2020","has_accepted_license":"1","article_type":"original","isi":1,"publisher":"Society for Neuroscience","status":"public","intvolume":"        40","publication":"The Journal of Neuroscience","quality_controlled":"1","department":[{"_id":"TiVo"}],"page":"9634-9649","date_created":"2020-07-16T12:25:04Z","month":"12","pmid":1,"doi":"10.1523/JNEUROSCI.0276-20.2020","ddc":["570"],"language":[{"iso":"eng"}],"title":"Complementary inhibitory weight profiles emerge from plasticity and allow attentional switching of receptive fields","citation":{"short":"E.J. Agnes, A.I. Luppi, T.P. Vogels, The Journal of Neuroscience 40 (2020) 9634–9649.","apa":"Agnes, E. J., Luppi, A. I., &#38; Vogels, T. P. (2020). Complementary inhibitory weight profiles emerge from plasticity and allow attentional switching of receptive fields. <i>The Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.0276-20.2020\">https://doi.org/10.1523/JNEUROSCI.0276-20.2020</a>","ama":"Agnes EJ, Luppi AI, Vogels TP. Complementary inhibitory weight profiles emerge from plasticity and allow attentional switching of receptive fields. <i>The Journal of Neuroscience</i>. 2020;40(50):9634-9649. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0276-20.2020\">10.1523/JNEUROSCI.0276-20.2020</a>","ieee":"E. J. Agnes, A. I. Luppi, and T. P. Vogels, “Complementary inhibitory weight profiles emerge from plasticity and allow attentional switching of receptive fields,” <i>The Journal of Neuroscience</i>, vol. 40, no. 50. Society for Neuroscience, pp. 9634–9649, 2020.","ista":"Agnes EJ, Luppi AI, Vogels TP. 2020. Complementary inhibitory weight profiles emerge from plasticity and allow attentional switching of receptive fields. The Journal of Neuroscience. 40(50), 9634–9649.","chicago":"Agnes, Everton J., Andrea I. Luppi, and Tim P Vogels. “Complementary Inhibitory Weight Profiles Emerge from Plasticity and Allow Attentional Switching of Receptive Fields.” <i>The Journal of Neuroscience</i>. Society for Neuroscience, 2020. <a href=\"https://doi.org/10.1523/JNEUROSCI.0276-20.2020\">https://doi.org/10.1523/JNEUROSCI.0276-20.2020</a>.","mla":"Agnes, Everton J., et al. “Complementary Inhibitory Weight Profiles Emerge from Plasticity and Allow Attentional Switching of Receptive Fields.” <i>The Journal of Neuroscience</i>, vol. 40, no. 50, Society for Neuroscience, 2020, pp. 9634–49, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0276-20.2020\">10.1523/JNEUROSCI.0276-20.2020</a>."},"author":[{"full_name":"Agnes, Everton J.","first_name":"Everton J.","last_name":"Agnes","orcid":"0000-0001-7184-7311"},{"full_name":"Luppi, Andrea I.","first_name":"Andrea I.","last_name":"Luppi"},{"last_name":"Vogels","full_name":"Vogels, Tim P","first_name":"Tim P","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","orcid":"0000-0003-3295-6181"}],"type":"journal_article","day":"09"},{"publisher":"Society for Neuroscience","intvolume":"        34","status":"public","publication":"Journal of Neuroscience","quality_controlled":"1","department":[{"_id":"RySh"}],"page":"15779 - 15792","date_created":"2018-12-11T11:55:14Z","month":"11","pmid":1,"acknowledgement":"This work was supported by “Funding Program for World-Leading Innovative R&D on Science and Technology (FIRST Program)” initiated by the Council for Science and Technology Policy.","doi":"10.1523/JNEUROSCI.1141-14.2014","ddc":["570"],"language":[{"iso":"eng"}],"title":"Netrin-G/NGL complexes encode functional synaptic diversification","citation":{"ieee":"H. Matsukawa <i>et al.</i>, “Netrin-G/NGL complexes encode functional synaptic diversification,” <i>Journal of Neuroscience</i>, vol. 34, no. 47. Society for Neuroscience, pp. 15779–15792, 2014.","ista":"Matsukawa H, Akiyoshi Nishimura S, Zhang Q, Luján R, Yamaguchi K, Goto H, Yaguchi K, Hashikawa T, Sano C, Shigemoto R, Nakashiba T, Itohara S. 2014. Netrin-G/NGL complexes encode functional synaptic diversification. Journal of Neuroscience. 34(47), 15779–15792.","chicago":"Matsukawa, Hiroshi, Sachiko Akiyoshi Nishimura, Qi Zhang, Rafael Luján, Kazuhiko Yamaguchi, Hiromichi Goto, Kunio Yaguchi, et al. “Netrin-G/NGL Complexes Encode Functional Synaptic Diversification.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2014. <a href=\"https://doi.org/10.1523/JNEUROSCI.1141-14.2014\">https://doi.org/10.1523/JNEUROSCI.1141-14.2014</a>.","mla":"Matsukawa, Hiroshi, et al. “Netrin-G/NGL Complexes Encode Functional Synaptic Diversification.” <i>Journal of Neuroscience</i>, vol. 34, no. 47, Society for Neuroscience, 2014, pp. 15779–92, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.1141-14.2014\">10.1523/JNEUROSCI.1141-14.2014</a>.","short":"H. Matsukawa, S. Akiyoshi Nishimura, Q. Zhang, R. Luján, K. Yamaguchi, H. Goto, K. Yaguchi, T. Hashikawa, C. Sano, R. Shigemoto, T. Nakashiba, S. Itohara, Journal of Neuroscience 34 (2014) 15779–15792.","apa":"Matsukawa, H., Akiyoshi Nishimura, S., Zhang, Q., Luján, R., Yamaguchi, K., Goto, H., … Itohara, S. (2014). Netrin-G/NGL complexes encode functional synaptic diversification. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.1141-14.2014\">https://doi.org/10.1523/JNEUROSCI.1141-14.2014</a>","ama":"Matsukawa H, Akiyoshi Nishimura S, Zhang Q, et al. Netrin-G/NGL complexes encode functional synaptic diversification. <i>Journal of Neuroscience</i>. 2014;34(47):15779-15792. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.1141-14.2014\">10.1523/JNEUROSCI.1141-14.2014</a>"},"author":[{"last_name":"Matsukawa","first_name":"Hiroshi","full_name":"Matsukawa, Hiroshi"},{"last_name":"Akiyoshi Nishimura","first_name":"Sachiko","full_name":"Akiyoshi Nishimura, Sachiko"},{"full_name":"Zhang, Qi","first_name":"Qi","last_name":"Zhang"},{"last_name":"Luján","full_name":"Luján, Rafael","first_name":"Rafael"},{"full_name":"Yamaguchi, Kazuhiko","first_name":"Kazuhiko","last_name":"Yamaguchi"},{"last_name":"Goto","full_name":"Goto, Hiromichi","first_name":"Hiromichi"},{"full_name":"Yaguchi, Kunio","first_name":"Kunio","last_name":"Yaguchi"},{"last_name":"Hashikawa","full_name":"Hashikawa, Tsutomu","first_name":"Tsutomu"},{"full_name":"Sano, Chie","first_name":"Chie","last_name":"Sano"},{"last_name":"Shigemoto","first_name":"Ryuichi","full_name":"Shigemoto, Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8761-9444"},{"full_name":"Nakashiba, Toshiaki","first_name":"Toshiaki","last_name":"Nakashiba"},{"last_name":"Itohara","full_name":"Itohara, Shigeyoshi","first_name":"Shigeyoshi"}],"type":"journal_article","day":"19","oa":1,"publication_status":"published","volume":34,"file_date_updated":"2022-05-24T08:41:41Z","article_processing_charge":"No","issue":"47","date_published":"2014-11-19T00:00:00Z","_id":"2018","abstract":[{"text":"Synaptic cell adhesion molecules are increasingly gaining attention for conferring specific properties to individual synapses. Netrin-G1 and netrin-G2 are trans-synaptic adhesion molecules that distribute on distinct axons, and their presence restricts the expression of their cognate receptors, NGL1 and NGL2, respectively, to specific subdendritic segments of target neurons. However, the neural circuits and functional roles of netrin-G isoform complexes remain unclear. Here, we use netrin-G-KO and NGL-KO mice to reveal that netrin-G1/NGL1 and netrin-G2/NGL2 interactions specify excitatory synapses in independent hippocampal pathways. In the hippocampal CA1 area, netrin-G1/NGL1 and netrin-G2/NGL2 were expressed in the temporoammonic and Schaffer collateral pathways, respectively. The lack of presynaptic netrin-Gs led to the dispersion of NGLs from postsynaptic membranes. In accord, netrin-G mutant synapses displayed opposing phenotypes in long-term and short-term plasticity through discrete biochemical pathways. The plasticity phenotypes in netrin-G-KOs were phenocopied in NGL-KOs, with a corresponding loss of netrin-Gs from presynaptic membranes. Our findings show that netrin-G/NGL interactions differentially control synaptic plasticity in distinct circuits via retrograde signaling mechanisms and explain how synaptic inputs are diversified to control neuronal activity.","lang":"eng"}],"file":[{"checksum":"6913e9bc26e9fc1c0441a739a4199229","date_updated":"2022-05-24T08:41:41Z","access_level":"open_access","file_name":"2014_JournNeuroscience_Matsukawa.pdf","creator":"dernst","file_size":3963728,"date_created":"2022-05-24T08:41:41Z","success":1,"content_type":"application/pdf","file_id":"11410","relation":"main_file"}],"publication_identifier":{"eissn":["1529-2401"],"issn":["0270-6474"]},"external_id":{"pmid":["25411505"]},"scopus_import":"1","date_updated":"2022-05-24T08:54:54Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2014","oa_version":"Published Version","has_accepted_license":"1","article_type":"original","publist_id":"5054"}]