[{"title":"Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze","intvolume":"       101","publication_status":"published","department":[{"_id":"JoCs"}],"date_created":"2019-01-13T22:59:10Z","article_processing_charge":"No","author":[{"last_name":"Xu","first_name":"Haibing","full_name":"Xu, Haibing","id":"310349D0-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Peter","last_name":"Baracskay","full_name":"Baracskay, Peter","id":"361CC00E-F248-11E8-B48F-1D18A9856A87"},{"id":"426376DC-F248-11E8-B48F-1D18A9856A87","full_name":"O'Neill, Joseph","first_name":"Joseph","last_name":"O'Neill"},{"orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"issue":"1","_id":"5828","scopus_import":"1","article_type":"original","publisher":"Elsevier","page":"119-132.e4","quality_controlled":"1","ec_funded":1,"abstract":[{"lang":"eng","text":"Hippocampus is needed for both spatial working and reference memories. Here, using a radial eight-arm maze, we examined how the combined demand on these memories influenced CA1 place cell assemblies while reference memories were partially updated. This was contrasted with control tasks requiring only working memory or the update of reference memory. Reference memory update led to the reward-directed place field shifts at newly rewarded arms and to the gradual strengthening of firing in passes between newly rewarded arms but not between those passes that included a familiar-rewarded arm. At the maze center, transient network synchronization periods preferentially replayed trajectories of the next chosen arm in reference memory tasks but the previously visited arm in the working memory task. Hence, reference memory demand was uniquely associated with a gradual, goal novelty-related reorganization of place cell assemblies and with trajectory replay that reflected the animal's decision of which arm to visit next."}],"doi":"10.1016/j.neuron.2018.11.015","day":"02","isi":1,"external_id":{"isi":["000454791500014"]},"date_updated":"2023-09-07T12:06:37Z","citation":{"ista":"Xu H, Baracskay P, O’Neill J, Csicsvari JL. 2019. Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. Neuron. 101(1), 119–132.e4.","short":"H. Xu, P. Baracskay, J. O’Neill, J.L. Csicsvari, Neuron 101 (2019) 119–132.e4.","mla":"Xu, Haibing, et al. “Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze.” <i>Neuron</i>, vol. 101, no. 1, Elsevier, 2019, p. 119–132.e4, doi:<a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">10.1016/j.neuron.2018.11.015</a>.","chicago":"Xu, Haibing, Peter Baracskay, Joseph O’Neill, and Jozsef L Csicsvari. “Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">https://doi.org/10.1016/j.neuron.2018.11.015</a>.","ieee":"H. Xu, P. Baracskay, J. O’Neill, and J. L. Csicsvari, “Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze,” <i>Neuron</i>, vol. 101, no. 1. Elsevier, p. 119–132.e4, 2019.","ama":"Xu H, Baracskay P, O’Neill J, Csicsvari JL. Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. <i>Neuron</i>. 2019;101(1):119-132.e4. doi:<a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">10.1016/j.neuron.2018.11.015</a>","apa":"Xu, H., Baracskay, P., O’Neill, J., &#38; Csicsvari, J. L. (2019). Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">https://doi.org/10.1016/j.neuron.2018.11.015</a>"},"year":"2019","volume":101,"month":"01","oa_version":"Published Version","project":[{"call_identifier":"FP7","_id":"257A4776-B435-11E9-9278-68D0E5697425","grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex"}],"publication":"Neuron","language":[{"iso":"eng"}],"oa":1,"publication_identifier":{"issn":["10974199"]},"date_published":"2019-01-02T00:00:00Z","type":"journal_article","related_material":{"link":[{"url":"https://ist.ac.at/en/news/reading-rats-minds/","relation":"press_release","description":"News on IST Homepage"}],"record":[{"id":"837","relation":"dissertation_contains","status":"public"}]},"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","main_file_link":[{"open_access":"1","url":"https://www.doi.org/10.1016/j.neuron.2018.11.015"}]},{"has_accepted_license":"1","publication":"Hippocampus","month":"09","project":[{"name":"Inter-and intracellular signalling in schizophrenia","grant_number":"607616","_id":"257BBB4C-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"oa_version":"Published Version","language":[{"iso":"eng"}],"type":"journal_article","date_published":"2019-09-01T00:00:00Z","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,"related_material":{"record":[{"status":"public","id":"6825","relation":"dissertation_contains"}]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","file":[{"file_id":"5950","creator":"dernst","relation":"main_file","access_level":"open_access","date_updated":"2020-07-14T12:47:13Z","file_name":"2019_Hippocampus_Kaefer.pdf","content_type":"application/pdf","date_created":"2019-02-11T10:42:51Z","file_size":2132893,"checksum":"5e8de271ca04aef92a5de42d6aac4404"}],"issue":"9","author":[{"full_name":"Käfer, Karola","last_name":"Käfer","first_name":"Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Malagon-Vina, Hugo","last_name":"Malagon-Vina","first_name":"Hugo"},{"last_name":"Dickerson","first_name":"Desiree","full_name":"Dickerson, Desiree","id":"444EB89E-F248-11E8-B48F-1D18A9856A87"},{"last_name":"O'Neill","first_name":"Joseph","full_name":"O'Neill, Joseph"},{"first_name":"Svenja V.","last_name":"Trossbach","full_name":"Trossbach, Svenja V."},{"full_name":"Korth, Carsten","first_name":"Carsten","last_name":"Korth"},{"orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","_id":"5949","intvolume":"        29","title":"Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization","department":[{"_id":"JoCs"}],"date_created":"2019-02-10T22:59:18Z","article_processing_charge":"Yes (via OA deal)","publication_status":"published","file_date_updated":"2020-07-14T12:47:13Z","quality_controlled":"1","ec_funded":1,"page":"802-816","article_type":"original","publisher":"Wiley","external_id":{"isi":["000480635400003"]},"isi":1,"year":"2019","citation":{"chicago":"Käfer, Karola, Hugo Malagon-Vina, Desiree Dickerson, Joseph O’Neill, Svenja V. Trossbach, Carsten Korth, and Jozsef L Csicsvari. “Disrupted-in-Schizophrenia 1 Overexpression Disrupts Hippocampal Coding and Oscillatory Synchronization.” <i>Hippocampus</i>. Wiley, 2019. <a href=\"https://doi.org/10.1002/hipo.23076\">https://doi.org/10.1002/hipo.23076</a>.","ieee":"K. Käfer <i>et al.</i>, “Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization,” <i>Hippocampus</i>, vol. 29, no. 9. Wiley, pp. 802–816, 2019.","apa":"Käfer, K., Malagon-Vina, H., Dickerson, D., O’Neill, J., Trossbach, S. V., Korth, C., &#38; Csicsvari, J. L. (2019). Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization. <i>Hippocampus</i>. Wiley. <a href=\"https://doi.org/10.1002/hipo.23076\">https://doi.org/10.1002/hipo.23076</a>","ama":"Käfer K, Malagon-Vina H, Dickerson D, et al. Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization. <i>Hippocampus</i>. 2019;29(9):802-816. doi:<a href=\"https://doi.org/10.1002/hipo.23076\">10.1002/hipo.23076</a>","ista":"Käfer K, Malagon-Vina H, Dickerson D, O’Neill J, Trossbach SV, Korth C, Csicsvari JL. 2019. Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization. Hippocampus. 29(9), 802–816.","mla":"Käfer, Karola, et al. “Disrupted-in-Schizophrenia 1 Overexpression Disrupts Hippocampal Coding and Oscillatory Synchronization.” <i>Hippocampus</i>, vol. 29, no. 9, Wiley, 2019, pp. 802–16, doi:<a href=\"https://doi.org/10.1002/hipo.23076\">10.1002/hipo.23076</a>.","short":"K. Käfer, H. Malagon-Vina, D. Dickerson, J. O’Neill, S.V. Trossbach, C. Korth, J.L. Csicsvari, Hippocampus 29 (2019) 802–816."},"date_updated":"2024-03-25T23:30:11Z","abstract":[{"lang":"eng","text":"Aberrant proteostasis of protein aggregation may lead to behavior disorders including chronic mental illnesses (CMI). Furthermore, the neuronal activity alterations that underlie CMI are not well understood. We recorded the local field potential and single-unit activity of the hippocampal CA1 region in vivo in rats transgenically overexpressing the Disrupted-in-Schizophrenia 1 (DISC1) gene (tgDISC1), modeling sporadic CMI. These tgDISC1 rats have previously been shown to exhibit DISC1 protein aggregation, disturbances in the dopaminergic system and attention-related deficits. Recordings were performed during exploration of familiar and novel open field environments and during sleep, allowing investigation of neuronal abnormalities in unconstrained behavior. Compared to controls, tgDISC1 place cells exhibited smaller place fields and decreased speed-modulation of their firing rates, demonstrating altered spatial coding and deficits in encoding location-independent sensory inputs. Oscillation analyses showed that tgDISC1 pyramidal neurons had higher theta phase locking strength during novelty, limiting their phase coding ability. However, their mean theta phases were more variable at the population level, reducing oscillatory network synchronization. Finally, tgDISC1 pyramidal neurons showed a lack of novelty-induced shift in their preferred theta and gamma firing phases, indicating deficits in coding of novel environments with oscillatory firing. By combining single cell and neuronal population analyses, we link DISC1 protein pathology with abnormal hippocampal neural coding and network synchrony, and thereby gain a more comprehensive understanding of CMI mechanisms."}],"day":"01","doi":"10.1002/hipo.23076","ddc":["570"],"volume":29},{"file":[{"file_name":"Online_data.zip","content_type":"application/zip","date_updated":"2020-07-14T12:47:18Z","file_size":37002186,"checksum":"48e7b9a02939b763417733239522a236","title":"Data for the paper \"The Entorhinal Cognitive Map is Attracted to Goals\"","date_created":"2019-03-05T09:29:37Z","creator":"mnardin","file_id":"6068","relation":"main_file","access_level":"open_access"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"status":"public","relation":"research_paper","id":"6194"}]},"status":"public","doi":"10.15479/AT:ISTA:6062","day":"29","abstract":[{"lang":"eng","text":"Open the files in Jupyter Notebook (reccomended https://www.anaconda.com/distribution/#download-section with Python 3.7)."}],"oa":1,"date_updated":"2024-02-21T12:46:04Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","short":"CC BY-SA (4.0)","name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","image":"/images/cc_by_sa.png"},"citation":{"ista":"Nardin M. 2019. Supplementary Code and Data for the paper ‘The Entorhinal Cognitive Map is Attracted to Goals’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:6062\">10.15479/AT:ISTA:6062</a>.","mla":"Nardin, Michele. <i>Supplementary Code and Data for the Paper “The Entorhinal Cognitive Map Is Attracted to Goals.”</i> Institute of Science and Technology Austria, 2019, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6062\">10.15479/AT:ISTA:6062</a>.","short":"M. Nardin, (2019).","chicago":"Nardin, Michele. “Supplementary Code and Data for the Paper ‘The Entorhinal Cognitive Map Is Attracted to Goals.’” Institute of Science and Technology Austria, 2019. <a href=\"https://doi.org/10.15479/AT:ISTA:6062\">https://doi.org/10.15479/AT:ISTA:6062</a>.","ieee":"M. Nardin, “Supplementary Code and Data for the paper ‘The Entorhinal Cognitive Map is Attracted to Goals.’” Institute of Science and Technology Austria, 2019.","ama":"Nardin M. Supplementary Code and Data for the paper “The Entorhinal Cognitive Map is Attracted to Goals.” 2019. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6062\">10.15479/AT:ISTA:6062</a>","apa":"Nardin, M. (2019). Supplementary Code and Data for the paper “The Entorhinal Cognitive Map is Attracted to Goals.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:6062\">https://doi.org/10.15479/AT:ISTA:6062</a>"},"year":"2019","date_published":"2019-03-29T00:00:00Z","type":"research_data","publisher":"Institute of Science and Technology Austria","file_date_updated":"2020-07-14T12:47:18Z","oa_version":"Published Version","article_processing_charge":"No","date_created":"2019-03-04T14:20:58Z","department":[{"_id":"JoCs"}],"month":"03","title":"Supplementary Code and Data for the paper \"The Entorhinal Cognitive Map is Attracted to Goals\"","_id":"6062","has_accepted_license":"1","author":[{"full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570","last_name":"Nardin","first_name":"Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"}]},{"publication_status":"published","article_processing_charge":"No","department":[{"_id":"JoCs"}],"date_created":"2019-04-04T08:39:30Z","title":"The entorhinal cognitive map is attracted to goals","intvolume":"       363","_id":"6194","scopus_import":"1","author":[{"orcid":"0000-0001-7237-5109","full_name":"Boccara, Charlotte N.","first_name":"Charlotte N.","last_name":"Boccara","id":"3FC06552-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","first_name":"Michele","last_name":"Nardin","id":"30BD0376-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"},{"last_name":"O'Neill","first_name":"Joseph","full_name":"O'Neill, Joseph","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari"}],"issue":"6434","publisher":"American Association for the Advancement of Science","article_type":"original","page":"1443-1447","quality_controlled":"1","ec_funded":1,"file_date_updated":"2020-07-14T12:47:23Z","doi":"10.1126/science.aav4837","day":"29","abstract":[{"text":"Grid cells with their rigid hexagonal firing fields are thought to provide an invariant metric to the hippocampal cognitive map, yet environmental geometrical features have recently been shown to distort the grid structure. Given that the hippocampal role goes beyond space, we tested the influence of nonspatial information on the grid organization. We trained rats to daily learn three new reward locations on a cheeseboard maze while recording from the medial entorhinal cortex and the hippocampal CA1 region. Many grid fields moved toward goal location, leading to long-lasting deformations of the entorhinal map. Therefore, distortions in the grid structure contribute to goal representation during both learning and recall, which demonstrates that grid cells participate in mnemonic coding and do not merely provide a simple metric of space.","lang":"eng"}],"date_updated":"2024-03-25T23:30:09Z","year":"2019","citation":{"apa":"Boccara, C. N., Nardin, M., Stella, F., O’Neill, J., &#38; Csicsvari, J. L. (2019). The entorhinal cognitive map is attracted to goals. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.aav4837\">https://doi.org/10.1126/science.aav4837</a>","ama":"Boccara CN, Nardin M, Stella F, O’Neill J, Csicsvari JL. The entorhinal cognitive map is attracted to goals. <i>Science</i>. 2019;363(6434):1443-1447. doi:<a href=\"https://doi.org/10.1126/science.aav4837\">10.1126/science.aav4837</a>","chicago":"Boccara, Charlotte N., Michele Nardin, Federico Stella, Joseph O’Neill, and Jozsef L Csicsvari. “The Entorhinal Cognitive Map Is Attracted to Goals.” <i>Science</i>. American Association for the Advancement of Science, 2019. <a href=\"https://doi.org/10.1126/science.aav4837\">https://doi.org/10.1126/science.aav4837</a>.","ieee":"C. N. Boccara, M. Nardin, F. Stella, J. O’Neill, and J. L. Csicsvari, “The entorhinal cognitive map is attracted to goals,” <i>Science</i>, vol. 363, no. 6434. American Association for the Advancement of Science, pp. 1443–1447, 2019.","short":"C.N. Boccara, M. Nardin, F. Stella, J. O’Neill, J.L. Csicsvari, Science 363 (2019) 1443–1447.","mla":"Boccara, Charlotte N., et al. “The Entorhinal Cognitive Map Is Attracted to Goals.” <i>Science</i>, vol. 363, no. 6434, American Association for the Advancement of Science, 2019, pp. 1443–47, doi:<a href=\"https://doi.org/10.1126/science.aav4837\">10.1126/science.aav4837</a>.","ista":"Boccara CN, Nardin M, Stella F, O’Neill J, Csicsvari JL. 2019. The entorhinal cognitive map is attracted to goals. Science. 363(6434), 1443–1447."},"isi":1,"external_id":{"isi":["000462738000034"]},"volume":363,"ddc":["570"],"oa_version":"Submitted Version","project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","grant_number":"281511"},{"call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program"}],"month":"03","publication":"Science","has_accepted_license":"1","language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1095-9203"],"issn":["0036-8075"]},"oa":1,"date_published":"2019-03-29T00:00:00Z","type":"journal_article","file":[{"relation":"main_file","access_level":"open_access","creator":"dernst","file_id":"7826","checksum":"5e6b16742cde10a560cfaf2130764da1","file_size":9045923,"date_created":"2020-05-14T09:11:10Z","file_name":"2019_Science_Boccara.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:47:23Z"}],"status":"public","related_material":{"record":[{"id":"6062","relation":"popular_science","status":"public"},{"id":"11932","relation":"dissertation_contains","status":"public"}],"link":[{"url":"https://ist.ac.at/en/news/grid-cells-create-treasure-map-in-rat-brain/","relation":"press_release","description":"News on IST Homepage"}]},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1"},{"external_id":{"isi":["000465169700017"],"pmid":["30819547"]},"isi":1,"year":"2019","citation":{"short":"F. Stella, P. Baracskay, J. O’Neill, J.L. Csicsvari, Neuron 102 (2019) 450–461.","mla":"Stella, Federico, et al. “Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion.” <i>Neuron</i>, vol. 102, Elsevier, 2019, pp. 450–61, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">10.1016/j.neuron.2019.01.052</a>.","ista":"Stella F, Baracskay P, O’Neill J, Csicsvari JL. 2019. Hippocampal reactivation of random trajectories resembling Brownian diffusion. Neuron. 102, 450–461.","apa":"Stella, F., Baracskay, P., O’Neill, J., &#38; Csicsvari, J. L. (2019). Hippocampal reactivation of random trajectories resembling Brownian diffusion. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">https://doi.org/10.1016/j.neuron.2019.01.052</a>","ama":"Stella F, Baracskay P, O’Neill J, Csicsvari JL. Hippocampal reactivation of random trajectories resembling Brownian diffusion. <i>Neuron</i>. 2019;102:450-461. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">10.1016/j.neuron.2019.01.052</a>","ieee":"F. Stella, P. Baracskay, J. O’Neill, and J. L. Csicsvari, “Hippocampal reactivation of random trajectories resembling Brownian diffusion,” <i>Neuron</i>, vol. 102. Elsevier, pp. 450–461, 2019.","chicago":"Stella, Federico, Peter Baracskay, Joseph O’Neill, and Jozsef L Csicsvari. “Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">https://doi.org/10.1016/j.neuron.2019.01.052</a>."},"date_updated":"2023-08-25T10:13:07Z","abstract":[{"lang":"eng","text":"Hippocampal activity patterns representing movement trajectories are reactivated in immobility and sleep periods, a process associated with memory recall, consolidation, and decision making. It is thought that only fixed, behaviorally relevant patterns can be reactivated, which are stored across hippocampal synaptic connections. To test whether some generalized rules govern reactivation, we examined trajectory reactivation following non-stereotypical exploration of familiar open-field environments. We found that random trajectories of varying lengths and timescales were reactivated, resembling that of Brownian motion of particles. The animals’ behavioral trajectory did not follow Brownian diffusion demonstrating that the exact behavioral experience is not reactivated. Therefore, hippocampal circuits are able to generate random trajectories of any recently active map by following diffusion dynamics. This ability of hippocampal circuits to generate representations of all behavioral outcome combinations, experienced or not, may underlie a wide variety of hippocampal-dependent cognitive functions such as learning, generalization, and planning."}],"day":"17","doi":"10.1016/j.neuron.2019.01.052","volume":102,"author":[{"id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","first_name":"Federico","last_name":"Stella","orcid":"0000-0001-9439-3148","full_name":"Stella, Federico"},{"id":"361CC00E-F248-11E8-B48F-1D18A9856A87","full_name":"Baracskay, Peter","first_name":"Peter","last_name":"Baracskay"},{"last_name":"O'Neill","first_name":"Joseph","full_name":"O'Neill, Joseph","id":"426376DC-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"}],"scopus_import":"1","pmid":1,"_id":"6338","intvolume":"       102","title":"Hippocampal reactivation of random trajectories resembling Brownian diffusion","department":[{"_id":"JoCs"}],"date_created":"2019-04-17T08:28:59Z","article_processing_charge":"No","publication_status":"published","ec_funded":1,"quality_controlled":"1","page":"450-461","article_type":"original","publisher":"Elsevier","type":"journal_article","date_published":"2019-04-17T00:00:00Z","oa":1,"status":"public","related_material":{"link":[{"url":"https://ist.ac.at/en/news/memories-of-movement-are-replayed-randomly-during-sleep/","description":"News on IST Homepage","relation":"press_release"}]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2019.01.052","open_access":"1"}],"publication":"Neuron","month":"04","project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex"},{"name":"Interneuro Plasticity During Spatial Learning","grant_number":"I03713","call_identifier":"FWF","_id":"2654F984-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","language":[{"iso":"eng"}]},{"publisher":"Institute of Science and Technology Austria","file_date_updated":"2021-02-11T23:30:22Z","page":"104","pubrep_id":"1042","title":"Reactivation content is important for consolidation of spatial memory","alternative_title":["ISTA Thesis"],"publication_status":"published","department":[{"_id":"JoCs"}],"date_created":"2018-12-11T11:44:21Z","article_processing_charge":"No","author":[{"id":"4B60654C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1807-1929","full_name":"Gridchyn, Igor","first_name":"Igor","last_name":"Gridchyn"}],"_id":"48","ddc":["573"],"abstract":[{"lang":"eng","text":"The hippocampus is a key brain region for spatial memory and navigation and is needed at all stages of memory, including encoding, consolidation, and recall. Hippocampal place cells selectively discharge at specific locations of the environment to form a cognitive map of the space. During the rest period and sleep following spatial navigation and/or learning, the waking activity of the place cells is reactivated within high synchrony events. This reactivation is thought to be important for memory consolidation and stabilization of the spatial representations. The aim of my thesis was to directly test whether the reactivation content encoded in firing patterns of place cells is important for consolidation of spatial memories. In particular, I aimed to test whether, in cases when multiple spatial memory traces are acquired during learning, the specific disruption of the reactivation of a subset of these memories leads to the selective disruption of the corresponding memory traces or through memory interference the other learned memories are disrupted as well. In this thesis, using a modified cheeseboard paradigm and a closed-loop recording setup with feedback optogenetic stimulation, I examined how the disruption of the reactivation of specific spiking patterns affects consolidation of the corresponding memory traces. To obtain multiple distinctive memories, animals had to perform a spatial task in two distinct cheeseboard environments and the reactivation of spiking patterns associated with one of the environments (target) was disrupted after learning during four hours rest period using a real-time decoding method. This real-time decoding method was capable of selectively affecting the firing rates and cofiring correlations of the target environment-encoding cells. The selective disruption led to behavioural impairment in the memory tests after the rest periods in the target environment but not in the other undisrupted control environment. In addition, the map of the target environment was less stable in the impaired memory tests compared to the learning session before than the map of the control environment. However, when the animal relearned the task, the same map recurred in the target environment that was present during learning before the disruption. Altogether my work demonstrated that the reactivation content is important: assembly-related disruption of reactivation can lead to a selective memory impairment and deficiency in map stability. These findings indeed suggest that reactivated assembly patterns reflect processes associated with the consolidation of memory traces. "}],"doi":"10.15479/AT:ISTA:th_1042","degree_awarded":"PhD","day":"27","date_updated":"2023-09-07T12:42:44Z","citation":{"chicago":"Gridchyn, Igor. “Reactivation Content Is Important for Consolidation of Spatial Memory.” Institute of Science and Technology Austria, 2018. <a href=\"https://doi.org/10.15479/AT:ISTA:th_1042\">https://doi.org/10.15479/AT:ISTA:th_1042</a>.","ieee":"I. Gridchyn, “Reactivation content is important for consolidation of spatial memory,” Institute of Science and Technology Austria, 2018.","apa":"Gridchyn, I. (2018). <i>Reactivation content is important for consolidation of spatial memory</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:th_1042\">https://doi.org/10.15479/AT:ISTA:th_1042</a>","ama":"Gridchyn I. Reactivation content is important for consolidation of spatial memory. 2018. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:th_1042\">10.15479/AT:ISTA:th_1042</a>","ista":"Gridchyn I. 2018. Reactivation content is important for consolidation of spatial memory. Institute of Science and Technology Austria.","short":"I. Gridchyn, Reactivation Content Is Important for Consolidation of Spatial Memory, Institute of Science and Technology Austria, 2018.","mla":"Gridchyn, Igor. <i>Reactivation Content Is Important for Consolidation of Spatial Memory</i>. Institute of Science and Technology Austria, 2018, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:th_1042\">10.15479/AT:ISTA:th_1042</a>."},"year":"2018","language":[{"iso":"eng"}],"month":"08","oa_version":"Published Version","has_accepted_license":"1","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","file":[{"relation":"source_file","access_level":"closed","file_id":"6236","creator":"dernst","date_created":"2019-04-08T13:36:01Z","file_size":7666687,"checksum":"7db4415e435590fa33542c7b0a0321d7","embargo_to":"open_access","date_updated":"2021-02-11T23:30:22Z","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_name":"2018_Thesis_Gridchyn_source.docx"},{"creator":"dernst","file_id":"6237","relation":"main_file","access_level":"open_access","file_name":"2018_Thesis_Gridchyn.pdf","content_type":"application/pdf","date_updated":"2021-02-11T11:17:18Z","checksum":"f96f3fe8979f7b1e6db6acaca962b10c","file_size":6034153,"date_created":"2019-04-08T13:36:01Z","embargo":"2019-08-29"}],"supervisor":[{"first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"oa":1,"publist_id":"8006","publication_identifier":{"issn":["2663-337X"]},"date_published":"2018-08-27T00:00:00Z","type":"dissertation","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)"}},{"year":"2018","citation":{"ista":"Rangel Guerrero DK, Donnett JG, Csicsvari JL, Kovács K. 2018. Tetrode recording from the hippocampus of behaving mice coupled with four-point-irradiation closed-loop optogenetics: A technique to study the contribution of Hippocampal SWR events to learning. eNeuro. 5(4), e0087.","mla":"Rangel Guerrero, Dámaris K., et al. “Tetrode Recording from the Hippocampus of Behaving Mice Coupled with Four-Point-Irradiation Closed-Loop Optogenetics: A Technique to Study the Contribution of Hippocampal SWR Events to Learning.” <i>ENeuro</i>, vol. 5, no. 4, e0087, Society of Neuroscience, 2018, doi:<a href=\"https://doi.org/10.1523/ENEURO.0087-18.2018\">10.1523/ENEURO.0087-18.2018</a>.","short":"D.K. Rangel Guerrero, J.G. Donnett, J.L. Csicsvari, K. Kovács, ENeuro 5 (2018).","ieee":"D. K. Rangel Guerrero, J. G. Donnett, J. L. Csicsvari, and K. Kovács, “Tetrode recording from the hippocampus of behaving mice coupled with four-point-irradiation closed-loop optogenetics: A technique to study the contribution of Hippocampal SWR events to learning,” <i>eNeuro</i>, vol. 5, no. 4. Society of Neuroscience, 2018.","chicago":"Rangel Guerrero, Dámaris K, James G. Donnett, Jozsef L Csicsvari, and Krisztián Kovács. “Tetrode Recording from the Hippocampus of Behaving Mice Coupled with Four-Point-Irradiation Closed-Loop Optogenetics: A Technique to Study the Contribution of Hippocampal SWR Events to Learning.” <i>ENeuro</i>. Society of Neuroscience, 2018. <a href=\"https://doi.org/10.1523/ENEURO.0087-18.2018\">https://doi.org/10.1523/ENEURO.0087-18.2018</a>.","apa":"Rangel Guerrero, D. K., Donnett, J. G., Csicsvari, J. L., &#38; Kovács, K. (2018). Tetrode recording from the hippocampus of behaving mice coupled with four-point-irradiation closed-loop optogenetics: A technique to study the contribution of Hippocampal SWR events to learning. <i>ENeuro</i>. Society of Neuroscience. <a href=\"https://doi.org/10.1523/ENEURO.0087-18.2018\">https://doi.org/10.1523/ENEURO.0087-18.2018</a>","ama":"Rangel Guerrero DK, Donnett JG, Csicsvari JL, Kovács K. Tetrode recording from the hippocampus of behaving mice coupled with four-point-irradiation closed-loop optogenetics: A technique to study the contribution of Hippocampal SWR events to learning. <i>eNeuro</i>. 2018;5(4). doi:<a href=\"https://doi.org/10.1523/ENEURO.0087-18.2018\">10.1523/ENEURO.0087-18.2018</a>"},"date_updated":"2024-03-25T23:30:06Z","external_id":{"isi":["000443994700007"]},"isi":1,"day":"27","doi":"10.1523/ENEURO.0087-18.2018","abstract":[{"lang":"eng","text":"With the advent of optogenetics, it became possible to change the activity of a targeted population of neurons in a temporally controlled manner. To combine the advantages of 60-channel in vivo tetrode recording and laser-based optogenetics, we have developed a closed-loop recording system that allows for the actual electrophysiological signal to be used as a trigger for the laser light mediating the optogenetic intervention. We have optimized the weight, size, and shape of the corresponding implant to make it compatible with the size, force, and movements of a behaving mouse, and we have shown that the system can efficiently block sharp wave ripple (SWR) events using those events themselves as a trigger. To demonstrate the full potential of the optogenetic recording system we present a pilot study addressing the contribution of SWR events to learning in a complex behavioral task."}],"volume":5,"ddc":["570"],"scopus_import":"1","_id":"5914","issue":"4","author":[{"id":"4871BCE6-F248-11E8-B48F-1D18A9856A87","last_name":"Rangel Guerrero","first_name":"Dámaris K","full_name":"Rangel Guerrero, Dámaris K","orcid":"0000-0002-8602-4374"},{"first_name":"James G.","last_name":"Donnett","full_name":"Donnett, James G."},{"first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"},{"id":"2AB5821E-F248-11E8-B48F-1D18A9856A87","last_name":"Kovács","first_name":"Krisztián","full_name":"Kovács, Krisztián","orcid":"0000-0001-6251-1007"}],"article_processing_charge":"No","date_created":"2019-02-03T22:59:16Z","department":[{"_id":"JoCs"}],"publication_status":"published","intvolume":"         5","title":"Tetrode recording from the hippocampus of behaving mice coupled with four-point-irradiation closed-loop optogenetics: A technique to study the contribution of Hippocampal SWR events to learning","ec_funded":1,"quality_controlled":"1","file_date_updated":"2020-07-14T12:47:13Z","publisher":"Society of Neuroscience","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":"2018-07-27T00:00:00Z","oa":1,"file":[{"date_created":"2019-02-05T12:48:36Z","file_size":3746884,"checksum":"f4915d45fc7ad4648b7b7a13fdecca01","date_updated":"2020-07-14T12:47:13Z","file_name":"2018_ENeuro_Guerrero.pdf","content_type":"application/pdf","access_level":"open_access","relation":"main_file","file_id":"5921","creator":"dernst"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"6849"}]},"has_accepted_license":"1","publication":"eNeuro","project":[{"grant_number":"291734","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"call_identifier":"FWF","_id":"257D4372-B435-11E9-9278-68D0E5697425","grant_number":"I2072-B27","name":"Interneuron plasticity during spatial learning"}],"oa_version":"Published Version","article_number":"e0087","month":"07","language":[{"iso":"eng"}]},{"page":"308 - 314","quality_controlled":"1","ec_funded":1,"file_date_updated":"2018-12-12T10:08:56Z","publisher":"Elsevier","_id":"1118","scopus_import":"1","author":[{"last_name":"Gan","first_name":"Jian","full_name":"Gan, Jian","id":"3614E438-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Weng","first_name":"Shih-Ming","full_name":"Weng, Shih-Ming","id":"2F9C5AC8-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Pernia-Andrade, Alejandro","first_name":"Alejandro","last_name":"Pernia-Andrade","id":"36963E98-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","first_name":"Peter M","last_name":"Jonas"}],"issue":"2","publication_status":"published","department":[{"_id":"PeJo"},{"_id":"JoCs"}],"article_processing_charge":"No","date_created":"2018-12-11T11:50:15Z","title":"Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo","pubrep_id":"752","intvolume":"        93","volume":93,"ddc":["571"],"date_updated":"2023-09-20T11:31:48Z","year":"2017","citation":{"chicago":"Gan, Jian, Shih-Ming Weng, Alejandro Pernia-Andrade, Jozsef L Csicsvari, and Peter M Jonas. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” <i>Neuron</i>. Elsevier, 2017. <a href=\"https://doi.org/10.1016/j.neuron.2016.12.018\">https://doi.org/10.1016/j.neuron.2016.12.018</a>.","ieee":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J. L. Csicsvari, and P. M. Jonas, “Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo,” <i>Neuron</i>, vol. 93, no. 2. Elsevier, pp. 308–314, 2017.","apa":"Gan, J., Weng, S.-M., Pernia-Andrade, A., Csicsvari, J. L., &#38; Jonas, P. M. (2017). Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2016.12.018\">https://doi.org/10.1016/j.neuron.2016.12.018</a>","ama":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. <i>Neuron</i>. 2017;93(2):308-314. doi:<a href=\"https://doi.org/10.1016/j.neuron.2016.12.018\">10.1016/j.neuron.2016.12.018</a>","ista":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. 2017. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. 93(2), 308–314.","short":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J.L. Csicsvari, P.M. Jonas, Neuron 93 (2017) 308–314.","mla":"Gan, Jian, et al. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” <i>Neuron</i>, vol. 93, no. 2, Elsevier, 2017, pp. 308–14, doi:<a href=\"https://doi.org/10.1016/j.neuron.2016.12.018\">10.1016/j.neuron.2016.12.018</a>."},"isi":1,"external_id":{"isi":["000396428200010"]},"doi":"10.1016/j.neuron.2016.12.018","day":"18","abstract":[{"lang":"eng","text":"Sharp wave-ripple (SWR) oscillations play a key role in memory consolidation during non-rapid eye movement sleep, immobility, and consummatory behavior. However, whether temporally modulated synaptic excitation or inhibition underlies the ripples is controversial. To address this question, we performed simultaneous recordings of excitatory and inhibitory postsynaptic currents (EPSCs and IPSCs) and local field potentials (LFPs) in the CA1 region of awake mice in vivo. During SWRs, inhibition dominated over excitation, with a peak conductance ratio of 4.1 ± 0.5. Furthermore, the amplitude of SWR-associated IPSCs was positively correlated with SWR magnitude, whereas that of EPSCs was not. Finally, phase analysis indicated that IPSCs were phase-locked to individual ripple cycles, whereas EPSCs were uniformly distributed in phase space. Optogenetic inhibition indicated that PV+ interneurons provided a major contribution to SWR-associated IPSCs. Thus, phasic inhibition, but not excitation, shapes SWR oscillations in the hippocampal CA1 region in vivo."}],"language":[{"iso":"eng"}],"publication":"Neuron","has_accepted_license":"1","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"},{"_id":"PreCl"}],"oa_version":"Published Version","project":[{"grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","call_identifier":"FWF","_id":"25C26B1E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons"}],"month":"01","file":[{"access_level":"open_access","relation":"main_file","creator":"system","file_id":"4719","file_size":2738950,"date_created":"2018-12-12T10:08:56Z","content_type":"application/pdf","file_name":"IST-2017-752-v1+1_1-s2.0-S0896627316309606-main.pdf","date_updated":"2018-12-12T10:08:56Z"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","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)"},"date_published":"2017-01-18T00:00:00Z","type":"journal_article","oa":1,"publist_id":"6244"},{"scopus_import":"1","_id":"1132","issue":"6321","author":[{"first_name":"Joseph","last_name":"O'Neill","full_name":"O'Neill, Joseph","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Charlotte","last_name":"Boccara","orcid":"0000-0001-7237-5109","full_name":"Boccara, Charlotte","id":"3FC06552-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-9439-3148","full_name":"Stella, Federico","first_name":"Federico","last_name":"Stella","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Schönenberger, Philipp","last_name":"Schönenberger","first_name":"Philipp","id":"3B9D816C-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"}],"department":[{"_id":"JoCs"}],"article_processing_charge":"No","date_created":"2018-12-11T11:50:19Z","publication_status":"published","intvolume":"       355","pubrep_id":"976","title":"Superficial layers of the medial entorhinal cortex replay independently of the hippocampus","quality_controlled":"1","ec_funded":1,"page":"184 - 188","file_date_updated":"2018-12-12T10:10:22Z","publisher":"American Association for the Advancement of Science","year":"2017","citation":{"ista":"O’Neill J, Boccara CN, Stella F, Schönenberger P, Csicsvari JL. 2017. Superficial layers of the medial entorhinal cortex replay independently of the hippocampus. Science. 355(6321), 184–188.","short":"J. O’Neill, C.N. Boccara, F. Stella, P. Schönenberger, J.L. Csicsvari, Science 355 (2017) 184–188.","mla":"O’Neill, Joseph, et al. “Superficial Layers of the Medial Entorhinal Cortex Replay Independently of the Hippocampus.” <i>Science</i>, vol. 355, no. 6321, American Association for the Advancement of Science, 2017, pp. 184–88, doi:<a href=\"https://doi.org/10.1126/science.aag2787\">10.1126/science.aag2787</a>.","chicago":"O’Neill, Joseph, Charlotte N. Boccara, Federico Stella, Philipp Schönenberger, and Jozsef L Csicsvari. “Superficial Layers of the Medial Entorhinal Cortex Replay Independently of the Hippocampus.” <i>Science</i>. American Association for the Advancement of Science, 2017. <a href=\"https://doi.org/10.1126/science.aag2787\">https://doi.org/10.1126/science.aag2787</a>.","ieee":"J. O’Neill, C. N. Boccara, F. Stella, P. Schönenberger, and J. L. Csicsvari, “Superficial layers of the medial entorhinal cortex replay independently of the hippocampus,” <i>Science</i>, vol. 355, no. 6321. American Association for the Advancement of Science, pp. 184–188, 2017.","apa":"O’Neill, J., Boccara, C. N., Stella, F., Schönenberger, P., &#38; Csicsvari, J. L. (2017). Superficial layers of the medial entorhinal cortex replay independently of the hippocampus. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.aag2787\">https://doi.org/10.1126/science.aag2787</a>","ama":"O’Neill J, Boccara CN, Stella F, Schönenberger P, Csicsvari JL. Superficial layers of the medial entorhinal cortex replay independently of the hippocampus. <i>Science</i>. 2017;355(6321):184-188. doi:<a href=\"https://doi.org/10.1126/science.aag2787\">10.1126/science.aag2787</a>"},"date_updated":"2023-09-20T11:30:35Z","external_id":{"isi":["000391743700044"]},"isi":1,"day":"13","doi":"10.1126/science.aag2787","abstract":[{"text":"The hippocampus is thought to initiate systems-wide mnemonic processes through the reactivation of previously acquired spatial and episodic memory traces, which can recruit the entorhinal cortex as a first stage of memory redistribution to other brain areas. Hippocampal reactivation occurs during sharp wave-ripples, in which synchronous network firing encodes sequences of places.We investigated the coordination of this replay by recording assembly activity simultaneously in the CA1 region of the hippocampus and superficial layers of the medial entorhinal cortex. We found that entorhinal cell assemblies can replay trajectories independently of the hippocampus and sharp wave-ripples. This suggests that the hippocampus is not the sole initiator of spatial and episodic memory trace reactivation. Memory systems involved in these processes may include nonhierarchical, parallel components.","lang":"eng"}],"volume":355,"ddc":["571"],"has_accepted_license":"1","publication":"Science","project":[{"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"}],"oa_version":"Submitted Version","month":"01","language":[{"iso":"eng"}],"type":"journal_article","date_published":"2017-01-13T00:00:00Z","publication_identifier":{"issn":["00368075"]},"publist_id":"6226","oa":1,"file":[{"date_updated":"2018-12-12T10:10:22Z","content_type":"application/pdf","file_name":"IST-2018-976-v1+1_2017Preprint_ONeill_Superficial_layers.pdf","date_created":"2018-12-12T10:10:22Z","file_size":3761201,"file_id":"4809","creator":"system","relation":"main_file","access_level":"open_access"}],"status":"public","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1"},{"ddc":["571"],"acknowledgement":"I am very grateful for the opportunity I have had as a graduate student to explore and incredibly interesting branch of neuroscience, and for the people who made it possible. Firstly, I would like to offer my thanks to my supervisor Professor Jozsef Csicsvari for his great support, guidance and patience offered over the years. The door to his office was always open whenever I had questions. I have learned a lot from him about carefully designing experiments, asking interesting questions and how to integrate results into a broader picture. I also express my gratitude to the remarkable post- doc , Dr. Joseph O’Neill. He is a gre at scientific role model who is always willing to teach , and advice and talk through problems with his full attention. Many thanks to my wonderful “office mates” over the years and their support and encouragement, Alice Avernhe, Philipp Schönenberger, Desiree Dickerson, Karel Blahna, Charlotte Boccara, Igor Gridchyn, Peter Baracskay, Krisztián Kovács, Dámaris Rangel, Karola Käfer and Federico Stella. They were the ones in the lab for the many useful discussions about science and for making the laboratory such a nice and friendly place to work in. A special thank goes to Michael LoBianco and Jago Wallenschus for wonderful technical support. I would also like to thank Professor Peter Jonas and Professor David M Bannerman for being my qualifying exam and thesi s committee members despite their busy schedule. I am also very thankful to IST Austria for their support all throughout my PhD. ","year":"2017","citation":{"ista":"Xu H. 2017. Reactivation of the hippocampal cognitive map in goal-directed spatial tasks. Institute of Science and Technology Austria.","mla":"Xu, Haibing. <i>Reactivation of the Hippocampal Cognitive Map in Goal-Directed Spatial Tasks</i>. Institute of Science and Technology Austria, 2017, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:th_858\">10.15479/AT:ISTA:th_858</a>.","short":"H. Xu, Reactivation of the Hippocampal Cognitive Map in Goal-Directed Spatial Tasks, Institute of Science and Technology Austria, 2017.","ieee":"H. Xu, “Reactivation of the hippocampal cognitive map in goal-directed spatial tasks,” Institute of Science and Technology Austria, 2017.","chicago":"Xu, Haibing. “Reactivation of the Hippocampal Cognitive Map in Goal-Directed Spatial Tasks.” Institute of Science and Technology Austria, 2017. <a href=\"https://doi.org/10.15479/AT:ISTA:th_858\">https://doi.org/10.15479/AT:ISTA:th_858</a>.","apa":"Xu, H. (2017). <i>Reactivation of the hippocampal cognitive map in goal-directed spatial tasks</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:th_858\">https://doi.org/10.15479/AT:ISTA:th_858</a>","ama":"Xu H. Reactivation of the hippocampal cognitive map in goal-directed spatial tasks. 2017. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:th_858\">10.15479/AT:ISTA:th_858</a>"},"date_updated":"2023-09-07T12:06:38Z","abstract":[{"text":"The hippocampus is a key brain region for memory and notably for spatial memory, and is needed for both spatial working and reference memories. Hippocampal place cells selectively discharge in specific locations of the environment to form mnemonic represen tations of space. Several behavioral protocols have been designed to test spatial memory which requires the experimental subject to utilize working memory and reference memory. However, less is known about how these memory traces are presented in the hippo campus, especially considering tasks that require both spatial working and long -term reference memory demand. The aim of my thesis was to elucidate how spatial working memory, reference memory, and the combination of both are represented in the hippocampus. In this thesis, using a radial eight -arm maze, I examined how the combined demand on these memories influenced place cell assemblies while reference memories were partially updated by changing some of the reward- arms. This was contrasted with task varian ts requiring working or reference memories only. Reference memory update led to gradual place field shifts towards the rewards on the switched arms. Cells developed enhanced firing in passes between newly -rewarded arms as compared to those containing an unchanged reward. The working memory task did not show such gradual changes. Place assemblies on occasions replayed trajectories of the maze; at decision points the next arm choice was preferentially replayed in tasks needing reference memory while in the pure working memory task the previously visited arm was replayed. Hence trajectory replay only reflected the decision of the animal in tasks needing reference memory update. At the reward locations, in all three tasks outbound trajectories of the current arm were preferentially replayed, showing the animals’ next path to the center. At reward locations trajectories were replayed preferentially in reverse temporal order. Moreover, in the center reverse replay was seen in the working memory task but in the other tasks forward replay was seen. Hence, the direction of reactivation was determined by the goal locations so that part of the trajectory which was closer to the goal was reactivated later in an HSE while places further away from the goal were reactivated earlier. Altogether my work demonstrated that reference memory update triggers several levels of reorganization of the hippocampal cognitive map which are not seen in simpler working memory demand s. Moreover, hippocampus is likely to be involved in spatial decisions through reactivating planned trajectories when reference memory recall is required for such a decision. ","lang":"eng"}],"day":"23","degree_awarded":"PhD","doi":"10.15479/AT:ISTA:th_858","file_date_updated":"2020-07-14T12:48:12Z","page":"93","publisher":"Institute of Science and Technology Austria","author":[{"first_name":"Haibing","last_name":"Xu","full_name":"Xu, Haibing","id":"310349D0-F248-11E8-B48F-1D18A9856A87"}],"_id":"837","title":"Reactivation of the hippocampal cognitive map in goal-directed spatial tasks","alternative_title":["ISTA Thesis"],"pubrep_id":"858","department":[{"_id":"JoCs"}],"date_created":"2018-12-11T11:48:46Z","article_processing_charge":"No","publication_status":"published","status":"public","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","related_material":{"record":[{"id":"5828","relation":"part_of_dissertation","status":"public"}]},"file":[{"date_created":"2019-04-05T08:59:51Z","checksum":"f11925fbbce31e495124b6bc4f10573c","file_size":3589490,"date_updated":"2020-07-14T12:48:12Z","file_name":"2017_Xu_Haibing_Thesis_Source.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","relation":"source_file","access_level":"closed","file_id":"6213","creator":"dernst"},{"access_level":"open_access","relation":"main_file","creator":"dernst","file_id":"6214","file_size":11668613,"checksum":"ffb10749a537d615fab1ef0937ccb157","date_created":"2019-04-05T08:59:51Z","content_type":"application/pdf","file_name":"2017_Xu_Thesis_IST.pdf","date_updated":"2020-07-14T12:48:12Z"}],"type":"dissertation","date_published":"2017-08-23T00:00:00Z","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,"publist_id":"6811","supervisor":[{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari"}],"publication_identifier":{"issn":["2663-337X"]},"language":[{"iso":"eng"}],"has_accepted_license":"1","month":"08","oa_version":"Published Version"},{"volume":8,"ddc":["571"],"citation":{"mla":"Simonnet, Jean, et al. “Activity Dependent Feedback Inhibition May Maintain Head Direction Signals in Mouse Presubiculum.” <i>Nature Communications</i>, vol. 8, 16032, Nature Publishing Group, 2017, doi:<a href=\"https://doi.org/10.1038/ncomms16032\">10.1038/ncomms16032</a>.","short":"J. Simonnet, M. Nassar, F. Stella, I. Cohen, B. Mathon, C.N. Boccara, R. Miles, D. Fricker, Nature Communications 8 (2017).","ista":"Simonnet J, Nassar M, Stella F, Cohen I, Mathon B, Boccara CN, Miles R, Fricker D. 2017. Activity dependent feedback inhibition may maintain head direction signals in mouse presubiculum. Nature Communications. 8, 16032.","ama":"Simonnet J, Nassar M, Stella F, et al. Activity dependent feedback inhibition may maintain head direction signals in mouse presubiculum. <i>Nature Communications</i>. 2017;8. doi:<a href=\"https://doi.org/10.1038/ncomms16032\">10.1038/ncomms16032</a>","apa":"Simonnet, J., Nassar, M., Stella, F., Cohen, I., Mathon, B., Boccara, C. N., … Fricker, D. (2017). Activity dependent feedback inhibition may maintain head direction signals in mouse presubiculum. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/ncomms16032\">https://doi.org/10.1038/ncomms16032</a>","ieee":"J. Simonnet <i>et al.</i>, “Activity dependent feedback inhibition may maintain head direction signals in mouse presubiculum,” <i>Nature Communications</i>, vol. 8. Nature Publishing Group, 2017.","chicago":"Simonnet, Jean, Mérie Nassar, Federico Stella, Ivan Cohen, Bertrand Mathon, Charlotte N. Boccara, Richard Miles, and Desdemona Fricker. “Activity Dependent Feedback Inhibition May Maintain Head Direction Signals in Mouse Presubiculum.” <i>Nature Communications</i>. Nature Publishing Group, 2017. <a href=\"https://doi.org/10.1038/ncomms16032\">https://doi.org/10.1038/ncomms16032</a>."},"year":"2017","date_updated":"2021-01-12T08:01:16Z","day":"01","doi":"10.1038/ncomms16032","abstract":[{"lang":"eng","text":"Orientation in space is represented in specialized brain circuits. Persistent head direction signals are transmitted from anterior thalamus to the presubiculum, but the identity of the presubicular target neurons, their connectivity and function in local microcircuits are unknown. Here, we examine how thalamic afferents recruit presubicular principal neurons and Martinotti interneurons, and the ensuing synaptic interactions between these cells. Pyramidal neuron activation of Martinotti cells in superficial layers is strongly facilitating such that high-frequency head directional stimulation efficiently unmutes synaptic excitation. Martinotti-cell feedback plays a dual role: precisely timed spikes may not inhibit the firing of in-tune head direction cells, while exerting lateral inhibition. Autonomous attractor dynamics emerge from a modelled network implementing wiring motifs and timing sensitive synaptic interactions in the pyramidal - Martinotti-cell feedback loop. This inhibitory microcircuit is therefore tuned to refine and maintain head direction information in the presubiculum."}],"quality_controlled":"1","file_date_updated":"2020-07-14T12:46:36Z","publisher":"Nature Publishing Group","scopus_import":1,"_id":"514","author":[{"full_name":"Simonnet, Jean","first_name":"Jean","last_name":"Simonnet"},{"full_name":"Nassar, Mérie","first_name":"Mérie","last_name":"Nassar"},{"last_name":"Stella","first_name":"Federico","full_name":"Stella, Federico","orcid":"0000-0001-9439-3148","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Ivan","last_name":"Cohen","full_name":"Cohen, Ivan"},{"full_name":"Mathon, Bertrand","first_name":"Bertrand","last_name":"Mathon"},{"full_name":"Boccara, Charlotte","orcid":"0000-0001-7237-5109","last_name":"Boccara","first_name":"Charlotte","id":"3FC06552-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Miles, Richard","last_name":"Miles","first_name":"Richard"},{"full_name":"Fricker, Desdemona","last_name":"Fricker","first_name":"Desdemona"}],"department":[{"_id":"JoCs"}],"date_created":"2018-12-11T11:46:54Z","publication_status":"published","intvolume":"         8","title":"Activity dependent feedback inhibition may maintain head direction signals in mouse presubiculum","pubrep_id":"937","file":[{"file_id":"5083","creator":"system","access_level":"open_access","relation":"main_file","date_updated":"2020-07-14T12:46:36Z","content_type":"application/pdf","file_name":"IST-2018-937-v1+1_2017_Stella_Activity_dependent.pdf","date_created":"2018-12-12T10:14:31Z","checksum":"76d8a2b72a58e56adb410ec37dfa7eee","file_size":2948357}],"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","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":"2017-07-01T00:00:00Z","publication_identifier":{"issn":["20411723"]},"publist_id":"7305","oa":1,"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"Nature Communications","oa_version":"Published Version","article_number":"16032","month":"07"},{"publisher":"Nature Publishing Group","file_date_updated":"2020-07-14T12:48:19Z","quality_controlled":"1","ec_funded":1,"intvolume":"         8","pubrep_id":"819","title":"Subsampling scaling","date_created":"2018-12-11T11:49:35Z","article_processing_charge":"Yes (in subscription journal)","department":[{"_id":"GaTk"},{"_id":"JoCs"}],"publication_status":"published","author":[{"id":"35AF8020-F248-11E8-B48F-1D18A9856A87","full_name":"Levina (Martius), Anna","last_name":"Levina (Martius)","first_name":"Anna"},{"first_name":"Viola","last_name":"Priesemann","full_name":"Priesemann, Viola"}],"scopus_import":"1","_id":"993","ddc":["005","571"],"volume":8,"abstract":[{"text":"In real-world applications, observations are often constrained to a small fraction of a system. Such spatial subsampling can be caused by the inaccessibility or the sheer size of the system, and cannot be overcome by longer sampling. Spatial subsampling can strongly bias inferences about a system’s aggregated properties. To overcome the bias, we derive analytically a subsampling scaling framework that is applicable to different observables, including distributions of neuronal avalanches, of number of people infected during an epidemic outbreak, and of node degrees. We demonstrate how to infer the correct distributions of the underlying full system, how to apply it to distinguish critical from subcritical systems, and how to disentangle subsampling and finite size effects. Lastly, we apply subsampling scaling to neuronal avalanche models and to recordings from developing neural networks. We show that only mature, but not young networks follow power-law scaling, indicating self-organization to criticality during development.","lang":"eng"}],"day":"04","doi":"10.1038/ncomms15140","external_id":{"isi":["000400560700001"]},"isi":1,"year":"2017","citation":{"apa":"Levina (Martius), A., &#38; Priesemann, V. (2017). Subsampling scaling. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/ncomms15140\">https://doi.org/10.1038/ncomms15140</a>","ama":"Levina (Martius) A, Priesemann V. Subsampling scaling. <i>Nature Communications</i>. 2017;8. doi:<a href=\"https://doi.org/10.1038/ncomms15140\">10.1038/ncomms15140</a>","chicago":"Levina (Martius), Anna, and Viola Priesemann. “Subsampling Scaling.” <i>Nature Communications</i>. Nature Publishing Group, 2017. <a href=\"https://doi.org/10.1038/ncomms15140\">https://doi.org/10.1038/ncomms15140</a>.","ieee":"A. Levina (Martius) and V. Priesemann, “Subsampling scaling,” <i>Nature Communications</i>, vol. 8. Nature Publishing Group, 2017.","short":"A. Levina (Martius), V. Priesemann, Nature Communications 8 (2017).","mla":"Levina (Martius), Anna, and Viola Priesemann. “Subsampling Scaling.” <i>Nature Communications</i>, vol. 8, 15140, Nature Publishing Group, 2017, doi:<a href=\"https://doi.org/10.1038/ncomms15140\">10.1038/ncomms15140</a>.","ista":"Levina (Martius) A, Priesemann V. 2017. Subsampling scaling. Nature Communications. 8, 15140."},"date_updated":"2023-09-22T09:54:07Z","language":[{"iso":"eng"}],"article_number":"15140","month":"05","project":[{"_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme","grant_number":"291734"}],"oa_version":"Published Version","has_accepted_license":"1","publication":"Nature Communications","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","file":[{"creator":"system","file_id":"5122","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_name":"IST-2017-819-v1+1_2017_Levina_SubsamplingScaling.pdf","date_updated":"2020-07-14T12:48:19Z","checksum":"9880212f8c4c53404c7c6fbf9023c53a","file_size":746224,"date_created":"2018-12-12T10:15:05Z"}],"oa":1,"publist_id":"6406","publication_identifier":{"issn":["20411723"]},"type":"journal_article","date_published":"2017-05-04T00:00:00Z","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)"}},{"abstract":[{"text":"Rhythms with time scales of multiple cycles per second permeate the mammalian brain, yet neuroscientists are not certain of their functional roles. One leading idea is that coherent oscillation between two brain regions facilitates the exchange of information between them. In rats, the hippocampus and the vibrissal sensorimotor system both are characterized by rhythmic oscillation in the theta range, 5–12 Hz. Previous work has been divided as to whether the two rhythms are independent or coherent. To resolve this question, we acquired three measures from rats—whisker motion, hippocampal local field potential (LFP), and barrel cortex unit firing—during a whisker-mediated texture discrimination task and during control conditions (not engaged in a whisker-mediated memory task). Compared to control conditions, the theta band of hippocampal LFP showed a marked increase in power as the rats approached and then palpated the texture. Phase synchronization between whisking and hippocampal LFP increased by almost 50% during approach and texture palpation. In addition, a greater proportion of barrel cortex neurons showed firing that was phase-locked to hippocampal theta while rats were engaged in the discrimination task. Consistent with a behavioral consequence of phase synchronization, the rats identified the texture more rapidly and with lower error likelihood on trials in which there was an increase in theta-whisking coherence at the moment of texture palpation. These results suggest that coherence between the whisking rhythm, barrel cortex firing, and hippocampal LFP is augmented selectively during epochs in which the rat collects sensory information and that such coherence enhances the efficiency of integration of stimulus information into memory and decision-making centers.","lang":"eng"}],"day":"18","doi":"10.1371/journal.pbio.1002384","year":"2016","citation":{"chicago":"Grion, Natalia, Athena Akrami, Yangfang Zuo, Federico Stella, and Mathew Diamond. “Coherence between Rat Sensorimotor System and Hippocampus Is Enhanced during Tactile Discrimination.” <i>PLoS Biology</i>. Public Library of Science, 2016. <a href=\"https://doi.org/10.1371/journal.pbio.1002384\">https://doi.org/10.1371/journal.pbio.1002384</a>.","ieee":"N. Grion, A. Akrami, Y. Zuo, F. Stella, and M. Diamond, “Coherence between rat sensorimotor system and hippocampus is enhanced during tactile discrimination,” <i>PLoS Biology</i>, vol. 14, no. 2. Public Library of Science, 2016.","ama":"Grion N, Akrami A, Zuo Y, Stella F, Diamond M. Coherence between rat sensorimotor system and hippocampus is enhanced during tactile discrimination. <i>PLoS Biology</i>. 2016;14(2). doi:<a href=\"https://doi.org/10.1371/journal.pbio.1002384\">10.1371/journal.pbio.1002384</a>","apa":"Grion, N., Akrami, A., Zuo, Y., Stella, F., &#38; Diamond, M. (2016). Coherence between rat sensorimotor system and hippocampus is enhanced during tactile discrimination. <i>PLoS Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.1002384\">https://doi.org/10.1371/journal.pbio.1002384</a>","ista":"Grion N, Akrami A, Zuo Y, Stella F, Diamond M. 2016. Coherence between rat sensorimotor system and hippocampus is enhanced during tactile discrimination. PLoS Biology. 14(2), e1002384.","short":"N. Grion, A. Akrami, Y. Zuo, F. Stella, M. Diamond, PLoS Biology 14 (2016).","mla":"Grion, Natalia, et al. “Coherence between Rat Sensorimotor System and Hippocampus Is Enhanced during Tactile Discrimination.” <i>PLoS Biology</i>, vol. 14, no. 2, e1002384, Public Library of Science, 2016, doi:<a href=\"https://doi.org/10.1371/journal.pbio.1002384\">10.1371/journal.pbio.1002384</a>."},"date_updated":"2021-01-12T06:51:05Z","ddc":["570"],"volume":14,"acknowledgement":"We thank Eric Maris, Demian Battaglia, and Rodrigo Quian Quiroga for useful discussions. We are grateful to Fabrizio Manzino and Marco Gigante for construction of the behavioral apparatus, Igor Perkon for developing custom whisker tracking software and to Francesca Pulecchi for animal care and histological processing.","intvolume":"        14","title":"Coherence between rat sensorimotor system and hippocampus is enhanced during tactile discrimination","pubrep_id":"518","department":[{"_id":"JoCs"}],"date_created":"2018-12-11T11:52:18Z","publication_status":"published","issue":"2","author":[{"full_name":"Grion, Natalia","first_name":"Natalia","last_name":"Grion"},{"full_name":"Akrami, Athena","last_name":"Akrami","first_name":"Athena"},{"full_name":"Zuo, Yangfang","first_name":"Yangfang","last_name":"Zuo"},{"last_name":"Stella","first_name":"Federico","full_name":"Stella, Federico","orcid":"0000-0001-9439-3148","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Diamond, Mathew","last_name":"Diamond","first_name":"Mathew"}],"scopus_import":1,"_id":"1487","publisher":"Public Library of Science","file_date_updated":"2020-07-14T12:44:57Z","quality_controlled":"1","publist_id":"5700","oa":1,"type":"journal_article","date_published":"2016-02-18T00:00:00Z","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)"},"status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","file":[{"date_updated":"2020-07-14T12:44:57Z","content_type":"application/pdf","file_name":"IST-2016-518-v1+1_journal.pbio.1002384.PDF","date_created":"2018-12-12T10:15:11Z","checksum":"3a5ce0d4e4e36bd6ceb4be761f85644a","file_size":2879899,"file_id":"5129","creator":"system","relation":"main_file","access_level":"open_access"}],"article_number":"e1002384","month":"02","oa_version":"Published Version","has_accepted_license":"1","publication":"PLoS Biology","language":[{"iso":"eng"}]},{"author":[{"full_name":"Schönenberger, Philipp","first_name":"Philipp","last_name":"Schönenberger","id":"3B9D816C-F248-11E8-B48F-1D18A9856A87"},{"full_name":"O'Neill, Joseph","first_name":"Joseph","last_name":"O'Neill","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"_id":"1334","scopus_import":1,"pubrep_id":"660","title":"Activity dependent plasticity of hippocampal place maps","intvolume":"         7","publication_status":"published","date_created":"2018-12-11T11:51:26Z","department":[{"_id":"JoCs"}],"file_date_updated":"2020-07-14T12:44:44Z","ec_funded":1,"quality_controlled":"1","publisher":"Nature Publishing Group","date_updated":"2021-01-12T06:49:57Z","citation":{"ieee":"P. Schönenberger, J. O’Neill, and J. L. Csicsvari, “Activity dependent plasticity of hippocampal place maps,” <i>Nature Communications</i>, vol. 7. Nature Publishing Group, 2016.","chicago":"Schönenberger, Philipp, Joseph O’Neill, and Jozsef L Csicsvari. “Activity Dependent Plasticity of Hippocampal Place Maps.” <i>Nature Communications</i>. Nature Publishing Group, 2016. <a href=\"https://doi.org/10.1038/ncomms11824\">https://doi.org/10.1038/ncomms11824</a>.","apa":"Schönenberger, P., O’Neill, J., &#38; Csicsvari, J. L. (2016). Activity dependent plasticity of hippocampal place maps. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/ncomms11824\">https://doi.org/10.1038/ncomms11824</a>","ama":"Schönenberger P, O’Neill J, Csicsvari JL. Activity dependent plasticity of hippocampal place maps. <i>Nature Communications</i>. 2016;7. doi:<a href=\"https://doi.org/10.1038/ncomms11824\">10.1038/ncomms11824</a>","ista":"Schönenberger P, O’Neill J, Csicsvari JL. 2016. Activity dependent plasticity of hippocampal place maps. Nature Communications. 7, 11824.","short":"P. Schönenberger, J. O’Neill, J.L. Csicsvari, Nature Communications 7 (2016).","mla":"Schönenberger, Philipp, et al. “Activity Dependent Plasticity of Hippocampal Place Maps.” <i>Nature Communications</i>, vol. 7, 11824, Nature Publishing Group, 2016, doi:<a href=\"https://doi.org/10.1038/ncomms11824\">10.1038/ncomms11824</a>."},"year":"2016","abstract":[{"lang":"eng","text":"Hippocampal neurons encode a cognitive map of space. These maps are thought to be updated during learning and in response to changes in the environment through activity-dependent synaptic plasticity. Here we examine how changes in activity influence spatial coding in rats using halorhodopsin-mediated, spatially selective optogenetic silencing. Halorhoposin stimulation leads to light-induced suppression in many place cells and interneurons; some place cells increase their firing through disinhibition, whereas some show no effect. We find that place fields of the unaffected subpopulation remain stable. On the other hand, place fields of suppressed place cells were unstable, showing remapping across sessions before and after optogenetic inhibition. Disinhibited place cells had stable maps but sustained an elevated firing rate. These findings suggest that place representation in the hippocampus is constantly governed by activity-dependent processes, and that disinhibition may provide a mechanism for rate remapping."}],"doi":"10.1038/ncomms11824","day":"10","ddc":["570"],"volume":7,"publication":"Nature Communications","has_accepted_license":"1","month":"06","article_number":"11824","oa_version":"Published Version","project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","grant_number":"281511"},{"grant_number":"I2072-B27","name":"Interneuron plasticity during spatial learning","_id":"257D4372-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"language":[{"iso":"eng"}],"date_published":"2016-06-10T00:00:00Z","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)"},"publist_id":"5934","oa":1,"status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","file":[{"relation":"main_file","access_level":"open_access","creator":"system","file_id":"5196","checksum":"e43307754abe65b840a21939fe163618","file_size":1793846,"date_created":"2018-12-12T10:16:10Z","file_name":"IST-2016-660-v1+1_ncomms11824.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:44:44Z"}]},{"quality_controlled":"1","ec_funded":1,"file_date_updated":"2020-07-14T12:44:42Z","publisher":"Public Library of Science","scopus_import":1,"_id":"1279","issue":"10","author":[{"id":"2AB5821E-F248-11E8-B48F-1D18A9856A87","last_name":"Kovács","first_name":"Krisztián","full_name":"Kovács, Krisztián"},{"full_name":"O'Neill, Joseph","first_name":"Joseph","last_name":"O'Neill","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"id":"3B9D816C-F248-11E8-B48F-1D18A9856A87","last_name":"Schönenberger","first_name":"Philipp","full_name":"Schönenberger, Philipp"},{"full_name":"Penttonen, Markku","first_name":"Markku","last_name":"Penttonen"},{"id":"4871BCE6-F248-11E8-B48F-1D18A9856A87","last_name":"Rangel Guerrero","first_name":"Dámaris K","full_name":"Rangel Guerrero, Dámaris K","orcid":"0000-0002-8602-4374"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"}],"department":[{"_id":"JoCs"}],"date_created":"2018-12-11T11:51:06Z","publication_status":"published","intvolume":"        11","pubrep_id":"690","title":"Optogenetically blocking sharp wave ripple events in sleep does not interfere with the formation of stable spatial representation in the CA1 area of the hippocampus","acknowledgement":"The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement n° [291734] via the IST FELLOWSHIP awarded to Dr. Krisztián A. Kovács and the European Research Council starting grant (acronym: HIPECMEM Project reference: 281511) awarded to Dr. Jozsef Csicsvari. We thank Lauri Viljanto for technical help in building the ripple detector.","volume":11,"ddc":["570","571"],"citation":{"apa":"Kovács, K., O’Neill, J., Schönenberger, P., Penttonen, M., Rangel Guerrero, D. K., &#38; Csicsvari, J. L. (2016). Optogenetically blocking sharp wave ripple events in sleep does not interfere with the formation of stable spatial representation in the CA1 area of the hippocampus. <i>PLoS One</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pone.0164675\">https://doi.org/10.1371/journal.pone.0164675</a>","ama":"Kovács K, O’Neill J, Schönenberger P, Penttonen M, Rangel Guerrero DK, Csicsvari JL. Optogenetically blocking sharp wave ripple events in sleep does not interfere with the formation of stable spatial representation in the CA1 area of the hippocampus. <i>PLoS One</i>. 2016;11(10). doi:<a href=\"https://doi.org/10.1371/journal.pone.0164675\">10.1371/journal.pone.0164675</a>","chicago":"Kovács, Krisztián, Joseph O’Neill, Philipp Schönenberger, Markku Penttonen, Dámaris K Rangel Guerrero, and Jozsef L Csicsvari. “Optogenetically Blocking Sharp Wave Ripple Events in Sleep Does Not Interfere with the Formation of Stable Spatial Representation in the CA1 Area of the Hippocampus.” <i>PLoS One</i>. Public Library of Science, 2016. <a href=\"https://doi.org/10.1371/journal.pone.0164675\">https://doi.org/10.1371/journal.pone.0164675</a>.","ieee":"K. Kovács, J. O’Neill, P. Schönenberger, M. Penttonen, D. K. Rangel Guerrero, and J. L. Csicsvari, “Optogenetically blocking sharp wave ripple events in sleep does not interfere with the formation of stable spatial representation in the CA1 area of the hippocampus,” <i>PLoS One</i>, vol. 11, no. 10. Public Library of Science, 2016.","short":"K. Kovács, J. O’Neill, P. Schönenberger, M. Penttonen, D.K. Rangel Guerrero, J.L. Csicsvari, PLoS One 11 (2016).","mla":"Kovács, Krisztián, et al. “Optogenetically Blocking Sharp Wave Ripple Events in Sleep Does Not Interfere with the Formation of Stable Spatial Representation in the CA1 Area of the Hippocampus.” <i>PLoS One</i>, vol. 11, no. 10, e0164675, Public Library of Science, 2016, doi:<a href=\"https://doi.org/10.1371/journal.pone.0164675\">10.1371/journal.pone.0164675</a>.","ista":"Kovács K, O’Neill J, Schönenberger P, Penttonen M, Rangel Guerrero DK, Csicsvari JL. 2016. Optogenetically blocking sharp wave ripple events in sleep does not interfere with the formation of stable spatial representation in the CA1 area of the hippocampus. PLoS One. 11(10), e0164675."},"year":"2016","date_updated":"2021-01-12T06:49:35Z","day":"19","doi":"10.1371/journal.pone.0164675","abstract":[{"text":"During hippocampal sharp wave/ripple (SWR) events, previously occurring, sensory inputdriven neuronal firing patterns are replayed. Such replay is thought to be important for plasticity- related processes and consolidation of memory traces. It has previously been shown that the electrical stimulation-induced disruption of SWR events interferes with learning in rodents in different experimental paradigms. On the other hand, the cognitive map theory posits that the plastic changes of the firing of hippocampal place cells constitute the electrophysiological counterpart of the spatial learning, observable at the behavioral level. Therefore, we tested whether intact SWR events occurring during the sleep/rest session after the first exploration of a novel environment are needed for the stabilization of the CA1 code, which process requires plasticity. We found that the newly-formed representation in the CA1 has the same level of stability with optogenetic SWR blockade as with a control manipulation that delivered the same amount of light into the brain. Therefore our results suggest that at least in the case of passive exploratory behavior, SWR-related plasticity is dispensable for the stability of CA1 ensembles.","lang":"eng"}],"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"PLoS One","project":[{"name":"International IST Postdoc Fellowship Programme","grant_number":"291734","call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425"},{"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"}],"oa_version":"Published Version","article_number":"e0164675","month":"10","file":[{"access_level":"open_access","relation":"main_file","creator":"system","file_id":"5009","file_size":4353592,"checksum":"395895ecb2216e9c39135abaa56b28b3","date_created":"2018-12-12T10:13:26Z","content_type":"application/pdf","file_name":"IST-2016-690-v1+1_journal.pone.0164675.PDF","date_updated":"2020-07-14T12:44:42Z"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","status":"public","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":"2016-10-19T00:00:00Z","oa":1,"publist_id":"6037"},{"publisher":"Elsevier","file_date_updated":"2020-07-14T12:45:10Z","ec_funded":1,"quality_controlled":"1","page":"2252 - 2260","intvolume":"        27","title":"Complex regulation of CREB-binding protein by homeodomain-interacting protein kinase 2","pubrep_id":"578","department":[{"_id":"JoCs"}],"date_created":"2018-12-11T11:53:20Z","publication_status":"published","issue":"11","author":[{"id":"2AB5821E-F248-11E8-B48F-1D18A9856A87","full_name":"Kovács, Krisztián","first_name":"Krisztián","last_name":"Kovács"},{"full_name":"Steinmann, Myriam","first_name":"Myriam","last_name":"Steinmann"},{"first_name":"Olivier","last_name":"Halfon","full_name":"Halfon, Olivier"},{"full_name":"Magistretti, Pierre","first_name":"Pierre","last_name":"Magistretti"},{"first_name":"Jean","last_name":"Cardinaux","full_name":"Cardinaux, Jean"}],"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","scopus_import":1,"_id":"1663","ddc":["570"],"volume":27,"abstract":[{"text":"CREB-binding protein (CBP) and p300 are transcriptional coactivators involved in numerous biological processes that affect cell growth, transformation, differentiation, and development. In this study, we provide evidence of the involvement of homeodomain-interacting protein kinase 2 (HIPK2) in the regulation of CBP activity. We show that HIPK2 interacts with and phosphorylates several regions of CBP. We demonstrate that serines 2361, 2363, 2371, 2376, and 2381 are responsible for the HIPK2-induced mobility shift of CBP C-terminal activation domain. Moreover, we show that HIPK2 strongly potentiates the transcriptional activity of CBP. However, our data suggest that HIPK2 activates CBP mainly by counteracting the repressive action of cell cycle regulatory domain 1 (CRD1), located between amino acids 977 and 1076, independently of CBP phosphorylation. Our findings thus highlight a complex regulation of CBP activity by HIPK2, which might be relevant for the control of specific sets of target genes involved in cellular proliferation, differentiation and apoptosis.","lang":"eng"}],"day":"01","doi":"10.1016/j.cellsig.2015.08.001","citation":{"ieee":"K. Kovács, M. Steinmann, O. Halfon, P. Magistretti, and J. Cardinaux, “Complex regulation of CREB-binding protein by homeodomain-interacting protein kinase 2,” <i>Cellular Signalling</i>, vol. 27, no. 11. Elsevier, pp. 2252–2260, 2015.","chicago":"Kovács, Krisztián, Myriam Steinmann, Olivier Halfon, Pierre Magistretti, and Jean Cardinaux. “Complex Regulation of CREB-Binding Protein by Homeodomain-Interacting Protein Kinase 2.” <i>Cellular Signalling</i>. Elsevier, 2015. <a href=\"https://doi.org/10.1016/j.cellsig.2015.08.001\">https://doi.org/10.1016/j.cellsig.2015.08.001</a>.","apa":"Kovács, K., Steinmann, M., Halfon, O., Magistretti, P., &#38; Cardinaux, J. (2015). Complex regulation of CREB-binding protein by homeodomain-interacting protein kinase 2. <i>Cellular Signalling</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.cellsig.2015.08.001\">https://doi.org/10.1016/j.cellsig.2015.08.001</a>","ama":"Kovács K, Steinmann M, Halfon O, Magistretti P, Cardinaux J. Complex regulation of CREB-binding protein by homeodomain-interacting protein kinase 2. <i>Cellular Signalling</i>. 2015;27(11):2252-2260. doi:<a href=\"https://doi.org/10.1016/j.cellsig.2015.08.001\">10.1016/j.cellsig.2015.08.001</a>","ista":"Kovács K, Steinmann M, Halfon O, Magistretti P, Cardinaux J. 2015. Complex regulation of CREB-binding protein by homeodomain-interacting protein kinase 2. Cellular Signalling. 27(11), 2252–2260.","mla":"Kovács, Krisztián, et al. “Complex Regulation of CREB-Binding Protein by Homeodomain-Interacting Protein Kinase 2.” <i>Cellular Signalling</i>, vol. 27, no. 11, Elsevier, 2015, pp. 2252–60, doi:<a href=\"https://doi.org/10.1016/j.cellsig.2015.08.001\">10.1016/j.cellsig.2015.08.001</a>.","short":"K. Kovács, M. Steinmann, O. Halfon, P. Magistretti, J. Cardinaux, Cellular Signalling 27 (2015) 2252–2260."},"year":"2015","date_updated":"2021-01-12T06:52:22Z","language":[{"iso":"eng"}],"month":"11","project":[{"grant_number":"291734","name":"International IST Postdoc Fellowship Programme","call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","has_accepted_license":"1","publication":"Cellular Signalling","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","file":[{"file_size":1735337,"checksum":"4ee690b6444b7a43523237f0941457d1","date_created":"2018-12-12T10:18:03Z","content_type":"application/pdf","file_name":"IST-2016-578-v1+1_CLS-D-15-00072R1_.pdf","date_updated":"2020-07-14T12:45:10Z","access_level":"local","relation":"main_file","creator":"system","file_id":"5321"}],"publist_id":"5487","type":"journal_article","date_published":"2015-11-01T00:00:00Z","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"}},{"author":[{"id":"3FC06552-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7237-5109","full_name":"Boccara, Charlotte","first_name":"Charlotte","last_name":"Boccara"},{"full_name":"Kjønigsen, Lisa","first_name":"Lisa","last_name":"Kjønigsen"},{"first_name":"Ingvild","last_name":"Hammer","full_name":"Hammer, Ingvild"},{"last_name":"Bjaalie","first_name":"Jan","full_name":"Bjaalie, Jan"},{"first_name":"Trygve","last_name":"Leergaard","full_name":"Leergaard, Trygve"},{"last_name":"Witter","first_name":"Menno","full_name":"Witter, Menno"}],"issue":"7","publication":"Hippocampus","_id":"1874","scopus_import":1,"title":"A three-plane architectonic atlas of the rat hippocampal region","month":"07","intvolume":"        25","oa_version":"None","publication_status":"published","date_created":"2018-12-11T11:54:29Z","department":[{"_id":"JoCs"}],"language":[{"iso":"eng"}],"page":"838 - 857","quality_controlled":"1","publisher":"Wiley","date_published":"2015-07-01T00:00:00Z","type":"journal_article","date_updated":"2021-01-12T06:53:46Z","year":"2015","citation":{"chicago":"Boccara, Charlotte N., Lisa Kjønigsen, Ingvild Hammer, Jan Bjaalie, Trygve Leergaard, and Menno Witter. “A Three-Plane Architectonic Atlas of the Rat Hippocampal Region.” <i>Hippocampus</i>. Wiley, 2015. <a href=\"https://doi.org/10.1002/hipo.22407\">https://doi.org/10.1002/hipo.22407</a>.","ieee":"C. N. Boccara, L. Kjønigsen, I. Hammer, J. Bjaalie, T. Leergaard, and M. Witter, “A three-plane architectonic atlas of the rat hippocampal region,” <i>Hippocampus</i>, vol. 25, no. 7. Wiley, pp. 838–857, 2015.","apa":"Boccara, C. N., Kjønigsen, L., Hammer, I., Bjaalie, J., Leergaard, T., &#38; Witter, M. (2015). A three-plane architectonic atlas of the rat hippocampal region. <i>Hippocampus</i>. Wiley. <a href=\"https://doi.org/10.1002/hipo.22407\">https://doi.org/10.1002/hipo.22407</a>","ama":"Boccara CN, Kjønigsen L, Hammer I, Bjaalie J, Leergaard T, Witter M. A three-plane architectonic atlas of the rat hippocampal region. <i>Hippocampus</i>. 2015;25(7):838-857. doi:<a href=\"https://doi.org/10.1002/hipo.22407\">10.1002/hipo.22407</a>","ista":"Boccara CN, Kjønigsen L, Hammer I, Bjaalie J, Leergaard T, Witter M. 2015. A three-plane architectonic atlas of the rat hippocampal region. Hippocampus. 25(7), 838–857.","mla":"Boccara, Charlotte N., et al. “A Three-Plane Architectonic Atlas of the Rat Hippocampal Region.” <i>Hippocampus</i>, vol. 25, no. 7, Wiley, 2015, pp. 838–57, doi:<a href=\"https://doi.org/10.1002/hipo.22407\">10.1002/hipo.22407</a>.","short":"C.N. Boccara, L. Kjønigsen, I. Hammer, J. Bjaalie, T. Leergaard, M. Witter, Hippocampus 25 (2015) 838–857."},"abstract":[{"lang":"eng","text":"The hippocampal region, comprising the hippocampal formation and the parahippocampal region, has been one of the most intensively studied parts of the brain for decades. Better understanding of its functional diversity and complexity has led to an increased demand for specificity in experimental procedures and manipulations. In view of the complex 3D structure of the hippocampal region, precisely positioned experimental approaches require a fine-grained architectural description that is available and readable to experimentalists lacking detailed anatomical experience. In this paper, we provide the first cyto- and chemoarchitectural description of the hippocampal formation and parahippocampal region in the rat at high resolution and in the three standard sectional planes: coronal, horizontal and sagittal. The atlas uses a series of adjacent sections stained for neurons and for a number of chemical marker substances, particularly parvalbumin and calbindin. All the borders defined in one plane have been cross-checked against their counterparts in the other two planes. The entire dataset will be made available as a web-based interactive application through the Rodent Brain WorkBench (http://www.rbwb.org) which, together with this paper, provides a unique atlas resource."}],"publist_id":"5222","doi":"10.1002/hipo.22407","day":"01","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","volume":25},{"doi":"10.1016/j.neuron.2014.06.013","day":"02","abstract":[{"text":"Learning can be facilitated by previous knowledge when it is organized into relational representations forming schemas. In this issue of Neuron, McKenzie et al. (2014) demonstrate that the hippocampus rapidly forms interrelated, hierarchical memory representations to support schema-based learning.","lang":"eng"}],"publist_id":"5073","date_updated":"2021-01-12T06:54:39Z","year":"2014","citation":{"chicago":"O’Neill, Joseph, and Jozsef L Csicsvari. “Learning by Example in the Hippocampus.” <i>Neuron</i>. Elsevier, 2014. <a href=\"https://doi.org/10.1016/j.neuron.2014.06.013\">https://doi.org/10.1016/j.neuron.2014.06.013</a>.","ieee":"J. O’Neill and J. L. Csicsvari, “Learning by example in the hippocampus,” <i>Neuron</i>, vol. 83, no. 1. Elsevier, pp. 8–10, 2014.","apa":"O’Neill, J., &#38; Csicsvari, J. L. (2014). Learning by example in the hippocampus. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2014.06.013\">https://doi.org/10.1016/j.neuron.2014.06.013</a>","ama":"O’Neill J, Csicsvari JL. Learning by example in the hippocampus. <i>Neuron</i>. 2014;83(1):8-10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.06.013\">10.1016/j.neuron.2014.06.013</a>","ista":"O’Neill J, Csicsvari JL. 2014. Learning by example in the hippocampus. Neuron. 83(1), 8–10.","short":"J. O’Neill, J.L. Csicsvari, Neuron 83 (2014) 8–10.","mla":"O’Neill, Joseph, and Jozsef L. Csicsvari. “Learning by Example in the Hippocampus.” <i>Neuron</i>, vol. 83, no. 1, Elsevier, 2014, pp. 8–10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.06.013\">10.1016/j.neuron.2014.06.013</a>."},"date_published":"2014-07-02T00:00:00Z","type":"journal_article","volume":83,"status":"public","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","publication_status":"published","oa_version":"None","date_created":"2018-12-11T11:55:09Z","department":[{"_id":"JoCs"}],"title":"Learning by example in the hippocampus","month":"07","intvolume":"        83","_id":"2003","publication":"Neuron","scopus_import":1,"author":[{"full_name":"O'Neill, Joseph","first_name":"Joseph","last_name":"O'Neill","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari"}],"issue":"1","publisher":"Elsevier","page":"8 - 10","quality_controlled":"1","language":[{"iso":"eng"}]},{"publication":"PLoS One","has_accepted_license":"1","oa_version":"Published Version","project":[{"_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme","grant_number":"291734"}],"month":"11","article_number":"e111430","language":[{"iso":"eng"}],"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)"},"date_published":"2014-11-14T00:00:00Z","type":"journal_article","oa":1,"publist_id":"5072","file":[{"creator":"system","file_id":"4850","access_level":"open_access","relation":"main_file","file_name":"IST-2016-435-v1+1_journal.pone.0111430.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:45:24Z","file_size":829363,"checksum":"a2289b843f7463eb1233f9ce45e6a943","date_created":"2018-12-12T10:10:58Z"}],"status":"public","related_material":{"record":[{"status":"public","id":"9722","relation":"research_data"}]},"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","_id":"2004","scopus_import":1,"author":[{"full_name":"Lovrics, Anna","last_name":"Lovrics","first_name":"Anna"},{"full_name":"Gao, Yu","first_name":"Yu","last_name":"Gao"},{"last_name":"Juhász","first_name":"Bianka","full_name":"Juhász, Bianka"},{"full_name":"Bock, István","last_name":"Bock","first_name":"István"},{"full_name":"Byrne, Helen","first_name":"Helen","last_name":"Byrne"},{"first_name":"András","last_name":"Dinnyés","full_name":"Dinnyés, András"},{"first_name":"Krisztián","last_name":"Kovács","full_name":"Kovács, Krisztián","id":"2AB5821E-F248-11E8-B48F-1D18A9856A87"}],"issue":"11","publication_status":"published","date_created":"2018-12-11T11:55:09Z","department":[{"_id":"JoCs"}],"title":"Boolean modelling reveals new regulatory connections between transcription factors orchestrating the development of the ventral spinal cord","pubrep_id":"435","intvolume":"         9","ec_funded":1,"quality_controlled":"1","file_date_updated":"2020-07-14T12:45:24Z","publisher":"Public Library of Science","date_updated":"2023-02-23T14:06:14Z","citation":{"mla":"Lovrics, Anna, et al. “Boolean Modelling Reveals New Regulatory Connections between Transcription Factors Orchestrating the Development of the Ventral Spinal Cord.” <i>PLoS One</i>, vol. 9, no. 11, e111430, Public Library of Science, 2014, doi:<a href=\"https://doi.org/10.1371/journal.pone.0111430\">10.1371/journal.pone.0111430</a>.","short":"A. Lovrics, Y. Gao, B. Juhász, I. Bock, H. Byrne, A. Dinnyés, K. Kovács, PLoS One 9 (2014).","ista":"Lovrics A, Gao Y, Juhász B, Bock I, Byrne H, Dinnyés A, Kovács K. 2014. Boolean modelling reveals new regulatory connections between transcription factors orchestrating the development of the ventral spinal cord. PLoS One. 9(11), e111430.","apa":"Lovrics, A., Gao, Y., Juhász, B., Bock, I., Byrne, H., Dinnyés, A., &#38; Kovács, K. (2014). Boolean modelling reveals new regulatory connections between transcription factors orchestrating the development of the ventral spinal cord. <i>PLoS One</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pone.0111430\">https://doi.org/10.1371/journal.pone.0111430</a>","ama":"Lovrics A, Gao Y, Juhász B, et al. Boolean modelling reveals new regulatory connections between transcription factors orchestrating the development of the ventral spinal cord. <i>PLoS One</i>. 2014;9(11). doi:<a href=\"https://doi.org/10.1371/journal.pone.0111430\">10.1371/journal.pone.0111430</a>","chicago":"Lovrics, Anna, Yu Gao, Bianka Juhász, István Bock, Helen Byrne, András Dinnyés, and Krisztián Kovács. “Boolean Modelling Reveals New Regulatory Connections between Transcription Factors Orchestrating the Development of the Ventral Spinal Cord.” <i>PLoS One</i>. Public Library of Science, 2014. <a href=\"https://doi.org/10.1371/journal.pone.0111430\">https://doi.org/10.1371/journal.pone.0111430</a>.","ieee":"A. Lovrics <i>et al.</i>, “Boolean modelling reveals new regulatory connections between transcription factors orchestrating the development of the ventral spinal cord,” <i>PLoS One</i>, vol. 9, no. 11. Public Library of Science, 2014."},"year":"2014","doi":"10.1371/journal.pone.0111430","day":"14","abstract":[{"lang":"eng","text":"We have assembled a network of cell-fate determining transcription factors that play a key role in the specification of the ventral neuronal subtypes of the spinal cord on the basis of published transcriptional interactions. Asynchronous Boolean modelling of the network was used to compare simulation results with reported experimental observations. Such comparison highlighted the need to include additional regulatory connections in order to obtain the fixed point attractors of the model associated with the five known progenitor cell types located in the ventral spinal cord. The revised gene regulatory network reproduced previously observed cell state switches between progenitor cells observed in knock-out animal models or in experiments where the transcription factors were overexpressed. Furthermore the network predicted the inhibition of Irx3 by Nkx2.2 and this prediction was tested experimentally. Our results provide evidence for the existence of an as yet undescribed inhibitory connection which could potentially have significance beyond the ventral spinal cord. The work presented in this paper demonstrates the strength of Boolean modelling for identifying gene regulatory networks."}],"volume":9,"ddc":["570"]},{"language":[{"iso":"eng"}],"quality_controlled":"1","page":"643 - 644","publisher":"Nature Publishing Group","issue":"5","author":[{"full_name":"Dupret, David","last_name":"Dupret","first_name":"David"},{"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,"_id":"2005","publication":"Nature Neuroscience","intvolume":"        17","title":"Turning heads to remember places","month":"04","department":[{"_id":"JoCs"}],"date_created":"2018-12-11T11:55:09Z","publication_status":"published","oa_version":"None","status":"public","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","volume":17,"type":"journal_article","date_published":"2014-04-25T00:00:00Z","citation":{"ieee":"D. Dupret and J. L. Csicsvari, “Turning heads to remember places,” <i>Nature Neuroscience</i>, vol. 17, no. 5. Nature Publishing Group, pp. 643–644, 2014.","chicago":"Dupret, David, and Jozsef L Csicsvari. “Turning Heads to Remember Places.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2014. <a href=\"https://doi.org/10.1038/nn.3700\">https://doi.org/10.1038/nn.3700</a>.","apa":"Dupret, D., &#38; Csicsvari, J. L. (2014). Turning heads to remember places. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn.3700\">https://doi.org/10.1038/nn.3700</a>","ama":"Dupret D, Csicsvari JL. Turning heads to remember places. <i>Nature Neuroscience</i>. 2014;17(5):643-644. doi:<a href=\"https://doi.org/10.1038/nn.3700\">10.1038/nn.3700</a>","ista":"Dupret D, Csicsvari JL. 2014. Turning heads to remember places. Nature Neuroscience. 17(5), 643–644.","short":"D. Dupret, J.L. Csicsvari, Nature Neuroscience 17 (2014) 643–644.","mla":"Dupret, David, and Jozsef L. Csicsvari. “Turning Heads to Remember Places.” <i>Nature Neuroscience</i>, vol. 17, no. 5, Nature Publishing Group, 2014, pp. 643–44, doi:<a href=\"https://doi.org/10.1038/nn.3700\">10.1038/nn.3700</a>."},"year":"2014","date_updated":"2021-01-12T06:54:40Z","publist_id":"5071","abstract":[{"lang":"eng","text":"By eliciting a natural exploratory behavior in rats, head scanning, a study reveals that hippocampal place cells form new, stable firing fields in those locations where the behavior has just occurred."}],"day":"25","doi":"10.1038/nn.3700"}]