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In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the informativeness of their spatial inputs. This structure facilitates linear decodability, making the information easy to read out by downstream circuits. Overall, our findings suggest that the efficient coding hypothesis is not only applicable to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain."}],"ec_funded":1,"scopus_import":"1","issue":"48","has_accepted_license":"1","citation":{"ieee":"M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal CA1 interactions optimizes spatial coding across experience,” <i>The Journal of Neuroscience</i>, vol. 43, no. 48. Society of Neuroscience, pp. 8140–8156, 2023.","chicago":"Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>. Society of Neuroscience, 2023. <a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>.","ama":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>. 2023;43(48):8140-8156. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">10.1523/JNEUROSCI.0194-23.2023</a>","short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience 43 (2023) 8140–8156.","ista":"Nardin M, Csicsvari JL, Tkačik G, Savin C. 2023. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. 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J.C. was supported by the European Research Council Consolidator Grant 281511. G.T. was supported by the Austrian Science Fund (FWF) Grant P34015. C.S. was supported by an Institute of Science and Technology fellow award and by the National Science Foundation (NSF) Award No. 1922658. We thank Peter Baracskay, Karola Kaefer, and Hugo Malagon-Vina for the acquisition of the data. We also thank Federico Stella, Wiktor Młynarski, Dori Derdikman, Colin Bredenberg, Roman Huszar, Heloisa Chiossi, Lorenzo Posani, and Mohamady El-Gaby for comments on an earlier version of the manuscript.","department":[{"_id":"JoCs"},{"_id":"GaTk"}],"pmid":1,"article_type":"original","volume":43,"month":"11","publication_identifier":{"eissn":["1529-2401"]},"quality_controlled":"1"},{"pmid":1,"acknowledgement":"We thank Hiroki Asari for sharing the dataset of naturalistic images, Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings. We also thank Gasper Tkacik and members of the Neuroethology group for their comments on the manuscript. This research was supported by the Scientific Service Units of IST Austria through resources provided by Scientific Computing, the Preclinical Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385 (DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European Research Council Starting Grant 756502 (MJ).","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"date_created":"2023-01-23T14:14:19Z","intvolume":"        26","article_processing_charge":"Yes (in subscription journal)","ddc":["570"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file_date_updated":"2023-10-04T11:40:51Z","quality_controlled":"1","publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"month":"04","article_type":"original","volume":26,"isi":1,"publisher":"Springer Nature","year":"2023","language":[{"iso":"eng"}],"doi":"10.1038/s41593-023-01280-0","type":"journal_article","oa":1,"_id":"12349","author":[{"full_name":"Gupta, Divyansh","first_name":"Divyansh","orcid":"0000-0001-7400-6665","last_name":"Gupta","id":"2A485EBE-F248-11E8-B48F-1D18A9856A87"},{"id":"358A453A-F248-11E8-B48F-1D18A9856A87","last_name":"Mlynarski","full_name":"Mlynarski, Wiktor F","first_name":"Wiktor F"},{"first_name":"Anton L","full_name":"Sumser, Anton L","last_name":"Sumser","id":"3320A096-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4792-1881"},{"full_name":"Symonova, Olga","first_name":"Olga","last_name":"Symonova","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2012-9947"},{"id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2","last_name":"Svaton","orcid":"0000-0002-6198-2939","first_name":"Jan","full_name":"Svaton, Jan"},{"orcid":"0000-0002-3937-1330","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","full_name":"Jösch, Maximilian A","first_name":"Maximilian A"}],"date_published":"2023-04-01T00:00:00Z","project":[{"grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism","grant_number":"P34015"},{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","name":"Circuits of Visual Attention","grant_number":"756502","call_identifier":"H2020"},{"name":"Neuronal networks of salience and spatial detection in the murine superior colliculus","_id":"266D407A-B435-11E9-9278-68D0E5697425","grant_number":"LT000256"},{"grant_number":"ALTF 1098-2017","_id":"264FEA02-B435-11E9-9278-68D0E5697425","name":"Connecting sensory with motor processing in the superior colliculus"}],"citation":{"ieee":"D. 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Data for: Panoramic visual statistics shape retina-wide organization of receptive fields","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"12349"}]},"type":"research_data","year":"2023","publisher":"Institute of Science and Technology Austria","doi":"10.15479/AT:ISTA:12370","date_published":"2023-01-26T00:00:00Z","_id":"12370","oa":1,"contributor":[{"first_name":"Olga","contributor_type":"researcher","last_name":"Symonova","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87"},{"contributor_type":"researcher","first_name":"Wiktor F","id":"358A453A-F248-11E8-B48F-1D18A9856A87","last_name":"Mlynarski"},{"last_name":"Svaton","id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2","first_name":"Jan","contributor_type":"researcher"}],"author":[{"full_name":"Gupta, Divyansh","first_name":"Divyansh","orcid":"0000-0001-7400-6665","last_name":"Gupta","id":"2A485EBE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Sumser","id":"3320A096-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4792-1881","first_name":"Anton L","full_name":"Sumser, Anton L"},{"first_name":"Maximilian A","full_name":"Jösch, Maximilian A","orcid":"0000-0002-3937-1330","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87"}],"file_date_updated":"2023-01-26T10:51:34Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","ddc":["571"],"department":[{"_id":"GradSch"},{"_id":"MaJö"}],"date_created":"2023-01-25T12:45:18Z","month":"01"},{"ec_funded":1,"abstract":[{"text":"Neurons in the brain are wired into adaptive networks that exhibit collective dynamics as diverse as scale-specific oscillations and scale-free neuronal avalanches. Although existing models account for oscillations and avalanches separately, they typically do not explain both phenomena, are too complex to analyze analytically or intractable to infer from data rigorously. Here we propose a feedback-driven Ising-like class of neural networks that captures avalanches and oscillations simultaneously and quantitatively. In the simplest yet fully microscopic model version, we can analytically compute the phase diagram and make direct contact with human brain resting-state activity recordings via tractable inference of the model’s two essential parameters. The inferred model quantitatively captures the dynamics over a broad range of scales, from single sensor oscillations to collective behaviors of extreme events and neuronal avalanches. Importantly, the inferred parameters indicate that the co-existence of scale-specific (oscillations) and scale-free (avalanches) dynamics occurs close to a non-equilibrium critical point at the onset of self-sustained oscillations.","lang":"eng"}],"oa_version":"Published Version","publication_status":"published","page":"254-263","day":"20","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","date_updated":"2023-08-16T12:41:53Z","external_id":{"arxiv":["2108.06686"]},"title":"Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain","file":[{"checksum":"7c63b2b2edfd68aaffe96d70ca6a865a","date_created":"2023-08-16T12:39:57Z","file_id":"14073","date_updated":"2023-08-16T12:39:57Z","success":1,"file_name":"2023_NatureCompScience_Lombardi.pdf","file_size":4474284,"access_level":"open_access","relation":"main_file","content_type":"application/pdf","creator":"dernst"}],"publication":"Nature Computational Science","has_accepted_license":"1","scopus_import":"1","project":[{"grant_number":"754411","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships"},{"grant_number":"M03318","name":"Functional Advantages of Critical Brain Dynamics","_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism","grant_number":"P34015"}],"arxiv":1,"citation":{"ieee":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain,” <i>Nature Computational Science</i>, vol. 3. Springer Nature, pp. 254–263, 2023.","chicago":"Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele De Martino. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.” <i>Nature Computational Science</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s43588-023-00410-9\">https://doi.org/10.1038/s43588-023-00410-9</a>.","ama":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. <i>Nature Computational Science</i>. 2023;3:254-263. doi:<a href=\"https://doi.org/10.1038/s43588-023-00410-9\">10.1038/s43588-023-00410-9</a>","ista":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. 2023. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. 3, 254–263.","short":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational Science 3 (2023) 254–263.","mla":"Lombardi, Fabrizio, et al. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.” <i>Nature Computational Science</i>, vol. 3, Springer Nature, 2023, pp. 254–63, doi:<a href=\"https://doi.org/10.1038/s43588-023-00410-9\">10.1038/s43588-023-00410-9</a>.","apa":"Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., &#38; De Martino, D. (2023). Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. <i>Nature Computational Science</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s43588-023-00410-9\">https://doi.org/10.1038/s43588-023-00410-9</a>"},"date_published":"2023-03-20T00:00:00Z","oa":1,"_id":"12762","author":[{"first_name":"Fabrizio","full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","id":"A057D288-3E88-11E9-986D-0CF4E5697425","last_name":"Lombardi"},{"last_name":"Pepic","id":"F93245C4-C3CA-11E9-B4F0-C6F4E5697425","full_name":"Pepic, Selver","first_name":"Selver"},{"first_name":"Oren","full_name":"Shriki, Oren","last_name":"Shriki"},{"full_name":"Tkačik, Gašper","first_name":"Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkačik","orcid":"0000-0002-6699-1455"},{"orcid":"0000-0002-5214-4706","id":"3FF5848A-F248-11E8-B48F-1D18A9856A87","last_name":"De Martino","first_name":"Daniele","full_name":"De Martino, Daniele"}],"type":"journal_article","publisher":"Springer Nature","year":"2023","language":[{"iso":"eng"}],"doi":"10.1038/s43588-023-00410-9","article_type":"original","volume":3,"quality_controlled":"1","publication_identifier":{"eissn":["2662-8457"]},"month":"03","intvolume":"         3","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","ddc":["570"],"file_date_updated":"2023-08-16T12:39:57Z","acknowledgement":"This research was funded in whole, or in part, by the Austrian Science Fund (FWF) (grant no. PT1013M03318 to F.L. and no. P34015 to G.T.). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. The study was supported by the European Union Horizon 2020 research and innovation program under the Marie Sklodowska-Curie action (grant agreement No. 754411 to F.L.).","department":[{"_id":"GaTk"},{"_id":"GradSch"}],"date_created":"2023-03-26T22:01:08Z"},{"date_published":"2022-12-21T00:00:00Z","author":[{"first_name":"Wiktor F","full_name":"Mlynarski, Wiktor F","last_name":"Mlynarski","id":"358A453A-F248-11E8-B48F-1D18A9856A87"},{"orcid":"1","last_name":"Tkačik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","full_name":"Tkačik, Gašper"}],"oa":1,"_id":"12332","type":"journal_article","language":[{"iso":"eng"}],"doi":"10.1371/journal.pbio.3001889","publisher":"Public Library of Science","year":"2022","isi":1,"article_type":"original","volume":20,"month":"12","quality_controlled":"1","publication_identifier":{"eissn":["1545-7885"]},"ddc":["570"],"article_processing_charge":"No","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","file_date_updated":"2023-01-23T08:46:40Z","intvolume":"        20","date_created":"2023-01-22T23:00:55Z","department":[{"_id":"GaTk"}],"acknowledgement":"We thank Robbe Goris for generously providing figures from his work and Ann M. Hermundstad for helpful discussions.\r\nGT & WM were supported by the Austrian Science Fund Standalone Grant P 34015 \"Efficient Coding with Biophysical Realism\" (https://pf.fwf.ac.at/) WM was additionally supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 754411 (https://ec.europa.eu/research/mariecurieactions/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","oa_version":"Published Version","publication_status":"published","page":"e3001889","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"day":"21","ec_funded":1,"abstract":[{"text":"Activity of sensory neurons is driven not only by external stimuli but also by feedback signals from higher brain areas. Attention is one particularly important internal signal whose presumed role is to modulate sensory representations such that they only encode information currently relevant to the organism at minimal cost. This hypothesis has, however, not yet been expressed in a normative computational framework. Here, by building on normative principles of probabilistic inference and efficient coding, we developed a model of dynamic population coding in the visual cortex. By continuously adapting the sensory code to changing demands of the perceptual observer, an attention-like modulation emerges. This modulation can dramatically reduce the amount of neural activity without deteriorating the accuracy of task-specific inferences. Our results suggest that a range of seemingly disparate cortical phenomena such as intrinsic gain modulation, attention-related tuning modulation, and response variability could be manifestations of the same underlying principles, which combine efficient sensory coding with optimal probabilistic inference in dynamic environments.","lang":"eng"}],"status":"public","date_updated":"2023-08-03T14:23:49Z","publication":"PLoS Biology","external_id":{"isi":["000925192000001"]},"title":"Efficient coding theory of dynamic attentional modulation","file":[{"access_level":"open_access","relation":"main_file","content_type":"application/pdf","creator":"dernst","checksum":"5d7f1111a87e5f2c1bf92f8886738894","date_created":"2023-01-23T08:46:40Z","file_id":"12337","date_updated":"2023-01-23T08:46:40Z","success":1,"file_name":"2022_PloSBiology_Mlynarski.pdf","file_size":4248838}],"issue":"12","scopus_import":"1","has_accepted_license":"1","project":[{"grant_number":"P34015","name":"Efficient coding with biophysical realism","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"},{"call_identifier":"H2020","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425"}],"citation":{"short":"W.F. Mlynarski, G. Tkačik, PLoS Biology 20 (2022) e3001889.","mla":"Mlynarski, Wiktor F., and Gašper Tkačik. “Efficient Coding Theory of Dynamic Attentional Modulation.” <i>PLoS Biology</i>, vol. 20, no. 12, Public Library of Science, 2022, p. e3001889, doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001889\">10.1371/journal.pbio.3001889</a>.","ista":"Mlynarski WF, Tkačik G. 2022. Efficient coding theory of dynamic attentional modulation. PLoS Biology. 20(12), e3001889.","apa":"Mlynarski, W. F., &#38; Tkačik, G. (2022). Efficient coding theory of dynamic attentional modulation. <i>PLoS Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.3001889\">https://doi.org/10.1371/journal.pbio.3001889</a>","ama":"Mlynarski WF, Tkačik G. Efficient coding theory of dynamic attentional modulation. <i>PLoS Biology</i>. 2022;20(12):e3001889. doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001889\">10.1371/journal.pbio.3001889</a>","chicago":"Mlynarski, Wiktor F, and Gašper Tkačik. “Efficient Coding Theory of Dynamic Attentional Modulation.” <i>PLoS Biology</i>. Public Library of Science, 2022. <a href=\"https://doi.org/10.1371/journal.pbio.3001889\">https://doi.org/10.1371/journal.pbio.3001889</a>.","ieee":"W. F. Mlynarski and G. Tkačik, “Efficient coding theory of dynamic attentional modulation,” <i>PLoS Biology</i>, vol. 20, no. 12. Public Library of Science, p. e3001889, 2022."}},{"external_id":{"arxiv":["2108.06686"]},"title":"Quantifying the coexistence of neuronal oscillations and avalanches","main_file_link":[{"url":"https://arxiv.org/abs/2108.06686","open_access":"1"}],"month":"08","ddc":["570"],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","project":[{"call_identifier":"H2020","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism","grant_number":"P34015"}],"acknowledgement":"FL acknowledges support from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411. GT\r\nacknowledges the support of the Austrian Science Fund (FWF) under Stand-Alone Grant\r\nNo. P34015.","citation":{"apa":"Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., &#38; De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv. <a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">https://doi.org/10.48550/ARXIV.2108.06686</a>","short":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, (n.d.).","mla":"Lombardi, Fabrizio, et al. <i>Quantifying the Coexistence of Neuronal Oscillations and Avalanches</i>. arXiv, doi:<a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">10.48550/ARXIV.2108.06686</a>.","ista":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. <a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">10.48550/ARXIV.2108.06686</a>.","ama":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. doi:<a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">10.48550/ARXIV.2108.06686</a>","chicago":"Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele De Martino. “Quantifying the Coexistence of Neuronal Oscillations and Avalanches.” arXiv, n.d. <a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">https://doi.org/10.48550/ARXIV.2108.06686</a>.","ieee":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Quantifying the coexistence of neuronal oscillations and avalanches.” arXiv."},"department":[{"_id":"GaTk"}],"arxiv":1,"date_created":"2022-03-21T11:41:28Z","ec_funded":1,"abstract":[{"text":"Brain dynamics display collective phenomena as diverse as neuronal oscillations and avalanches. Oscillations are rhythmic, with fluctuations occurring at a characteristic scale, whereas avalanches are scale-free cascades of neural activity. Here we show that such antithetic features can coexist in a very generic class of adaptive neural networks. In the most simple yet fully microscopic model from this class we make direct contact with human brain resting-state activity recordings via tractable inference of the model's two essential parameters. The inferred model quantitatively captures the dynamics over a broad range of scales, from single sensor fluctuations, collective behaviors of nearly-synchronous extreme events on multiple sensors, to neuronal avalanches unfolding over multiple sensors across multiple time-bins. Importantly, the inferred parameters correlate with model-independent signatures of \"closeness to criticality\", suggesting that the coexistence of scale-specific (neural oscillations) and scale-free (neuronal avalanches) dynamics in brain activity occurs close to a non-equilibrium critical point at the onset of self-sustained oscillations.","lang":"eng"}],"publication_status":"submitted","oa_version":"Preprint","date_published":"2021-08-17T00:00:00Z","page":"37","day":"17","oa":1,"_id":"10912","author":[{"first_name":"Fabrizio","full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425"},{"last_name":"Pepic","id":"F93245C4-C3CA-11E9-B4F0-C6F4E5697425","full_name":"Pepic, Selver","first_name":"Selver"},{"first_name":"Oren","full_name":"Shriki, Oren","last_name":"Shriki"},{"full_name":"Tkačik, Gašper","first_name":"Gašper","orcid":"0000-0002-6699-1455","last_name":"Tkačik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"De Martino","full_name":"De Martino, Daniele","first_name":"Daniele"}],"type":"preprint","status":"public","date_updated":"2022-03-22T07:53:18Z","publisher":"arXiv","year":"2021","language":[{"iso":"eng"}],"doi":"10.48550/ARXIV.2108.06686"},{"doi":"10.1101/2021.09.28.460602","language":[{"iso":"eng"}],"year":"2021","publisher":"Cold Spring Harbor Laboratory","date_updated":"2024-03-25T23:30:09Z","status":"public","type":"preprint","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","author":[{"orcid":"0000-0001-8849-6570","last_name":"Nardin","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","full_name":"Nardin, Michele","first_name":"Michele"},{"full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari"},{"full_name":"Tkačik, Gašper","first_name":"Gašper","orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkačik"},{"first_name":"Cristina","full_name":"Savin, Cristina","id":"3933349E-F248-11E8-B48F-1D18A9856A87","last_name":"Savin"}],"_id":"10077","oa":1,"tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"day":"29","publication_status":"submitted","oa_version":"Preprint","date_published":"2021-09-29T00:00:00Z","abstract":[{"lang":"eng","text":"Although much is known about how single neurons in the hippocampus represent an animal’s position, how cell-cell interactions contribute to spatial coding remains poorly understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured cell-to-cell interactions whose statistics depend on familiar vs. novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the signal-to-noise ratio of their spatial inputs. Moreover, the topology of the interactions facilitates linear decodability, making the information easy to read out by downstream circuits. These findings suggest that the efficient coding hypothesis is not applicable only to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain."}],"ec_funded":1,"date_created":"2021-10-04T06:23:34Z","citation":{"apa":"Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (n.d.). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2021.09.28.460602\">https://doi.org/10.1101/2021.09.28.460602</a>","ista":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. bioRxiv, <a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>.","mla":"Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>.","short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, BioRxiv (n.d.).","ama":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>","chicago":"Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2021.09.28.460602\">https://doi.org/10.1101/2021.09.28.460602</a>.","ieee":"M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal CA1 interactions optimizes spatial coding across experience,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory."},"department":[{"_id":"GradSch"},{"_id":"JoCs"},{"_id":"GaTk"}],"acknowledgement":"We thank Peter Baracskay, Karola Kaefer and Hugo Malagon-Vina for the acquisition of the data. We thank Federico Stella for comments on an earlier version of the manuscript. MN was supported by European Union Horizon 2020 grant 665385, JC was supported by European Research Council consolidator grant 281511, GT was supported by the Austrian Science Fund (FWF) grant P34015, CS was supported by an IST fellow grant, National Institute of Mental Health Award 1R01MH125571-01, by the National Science Foundation under NSF Award No. 1922658 and a Google faculty award.","project":[{"call_identifier":"FP7","grant_number":"291734","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425"},{"grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","_id":"257A4776-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"281511"},{"grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","article_processing_charge":"No","month":"09","main_file_link":[{"open_access":"1","url":"https://www.biorxiv.org/content/10.1101/2021.09.28.460602"}],"publication":"bioRxiv","title":"The structure of hippocampal CA1 interactions optimizes spatial coding across experience","related_material":{"record":[{"relation":"dissertation_contains","id":"11932","status":"public"}]}}]