{"type":"journal_article","file":[{"content_type":"application/pdf","file_name":"2016_PLOS_Prentice.pdf","creator":"kschuh","access_level":"open_access","relation":"main_file","checksum":"47b08cbd4dbf32b25ba161f5f4b262cc","file_id":"5884","date_created":"2019-01-25T10:35:00Z","file_size":4492021,"date_updated":"2020-07-14T12:44:38Z"}],"day":"17","month":"11","date_updated":"2023-02-23T14:05:40Z","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"date_published":"2016-11-17T00:00:00Z","publication_status":"published","issue":"11","department":[{"_id":"GaTk"}],"abstract":[{"lang":"eng","text":"Across the nervous system, certain population spiking patterns are observed far more frequently than others. A hypothesis about this structure is that these collective activity patterns function as population codewords–collective modes–carrying information distinct from that of any single cell. We investigate this phenomenon in recordings of ∼150 retinal ganglion cells, the retina’s output. We develop a novel statistical model that decomposes the population response into modes; it predicts the distribution of spiking activity in the ganglion cell population with high accuracy. We found that the modes represent localized features of the visual stimulus that are distinct from the features represented by single neurons. Modes form clusters of activity states that are readily discriminated from one another. When we repeated the same visual stimulus, we found that the same mode was robustly elicited. These results suggest that retinal ganglion cells’ collective signaling is endowed with a form of error-correcting code–a principle that may hold in brain areas beyond retina."}],"oa_version":"Published Version","oa":1,"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","date_created":"2018-12-11T11:50:40Z","publisher":"Public Library of Science","scopus_import":1,"quality_controlled":"1","title":"Error-robust modes of the retinal population code","status":"public","related_material":{"record":[{"status":"public","id":"9709","relation":"research_data"}]},"publication":"PLoS Computational Biology","author":[{"first_name":"Jason","last_name":"Prentice","full_name":"Prentice, Jason"},{"first_name":"Olivier","last_name":"Marre","full_name":"Marre, Olivier"},{"last_name":"Ioffe","first_name":"Mark","full_name":"Ioffe, Mark"},{"last_name":"Loback","first_name":"Adrianna","full_name":"Loback, Adrianna"},{"first_name":"Gasper","last_name":"Tkacik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","full_name":"Tkacik, Gasper","orcid":"0000-0002-6699-1455"},{"full_name":"Berry, Michael","first_name":"Michael","last_name":"Berry"}],"has_accepted_license":"1","doi":"10.1371/journal.pcbi.1005148","citation":{"ieee":"J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkačik, and M. Berry, “Error-robust modes of the retinal population code,” <i>PLoS Computational Biology</i>, vol. 12, no. 11. Public Library of Science, 2016.","mla":"Prentice, Jason, et al. “Error-Robust Modes of the Retinal Population Code.” <i>PLoS Computational Biology</i>, vol. 12, no. 11, e1005855, Public Library of Science, 2016, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1005148\">10.1371/journal.pcbi.1005148</a>.","short":"J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkačik, M. Berry, PLoS Computational Biology 12 (2016).","ista":"Prentice J, Marre O, Ioffe M, Loback A, Tkačik G, Berry M. 2016. Error-robust modes of the retinal population code. PLoS Computational Biology. 12(11), e1005855.","chicago":"Prentice, Jason, Olivier Marre, Mark Ioffe, Adrianna Loback, Gašper Tkačik, and Michael Berry. “Error-Robust Modes of the Retinal Population Code.” <i>PLoS Computational Biology</i>. Public Library of Science, 2016. <a href=\"https://doi.org/10.1371/journal.pcbi.1005148\">https://doi.org/10.1371/journal.pcbi.1005148</a>.","apa":"Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkačik, G., &#38; Berry, M. (2016). Error-robust modes of the retinal population code. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1005148\">https://doi.org/10.1371/journal.pcbi.1005148</a>","ama":"Prentice J, Marre O, Ioffe M, Loback A, Tkačik G, Berry M. Error-robust modes of the retinal population code. <i>PLoS Computational Biology</i>. 2016;12(11). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1005148\">10.1371/journal.pcbi.1005148</a>"},"_id":"1197","article_number":"e1005855","language":[{"iso":"eng"}],"intvolume":"        12","publist_id":"6153","volume":12,"year":"2016","file_date_updated":"2020-07-14T12:44:38Z","acknowledgement":"JSP was supported by a C.V. Starr Fellowship from the Starr Foundation (http://www.starrfoundation.org/). GT was supported by Austrian Research Foundation (https://www.fwf.ac.at/en/) grant FWF P25651. MJB received support from National Eye Institute (https://nei.nih.gov/) grant EY 14196 and from the National Science Foundation grant 1504977. The authors thank Cristina Savin and Vicent Botella-Soler for helpful comments on the manuscript.","project":[{"call_identifier":"FWF","grant_number":"P 25651-N26","name":"Sensitivity to higher-order statistics in natural scenes","_id":"254D1A94-B435-11E9-9278-68D0E5697425"}],"ddc":["570"]}