{"ddc":["570"],"doi":"10.1371/journal.pcbi.1003344","status":"public","month":"12","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publication":"PLoS Computational Biology","related_material":{"record":[{"id":"9752","relation":"research_data","status":"public"}]},"language":[{"iso":"eng"}],"issue":"12","date_created":"2018-12-11T11:56:43Z","author":[{"last_name":"Simmons","first_name":"Kristina","full_name":"Simmons, Kristina"},{"last_name":"Prentice","first_name":"Jason","full_name":"Prentice, Jason"},{"orcid":"0000-0002-6699-1455","full_name":"Tkacik, Gasper","last_name":"Tkacik","first_name":"Gasper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Homann","first_name":"Jan","full_name":"Homann, Jan"},{"first_name":"Heather","last_name":"Yee","full_name":"Yee, Heather"},{"full_name":"Palmer, Stephanie","last_name":"Palmer","first_name":"Stephanie"},{"last_name":"Nelson","first_name":"Philip","full_name":"Nelson, Philip"},{"first_name":"Vijay","last_name":"Balasubramanian","full_name":"Balasubramanian, Vijay"}],"license":"https://creativecommons.org/licenses/by/4.0/","publisher":"Public Library of Science","type":"journal_article","quality_controlled":"1","file_date_updated":"2020-07-14T12:45:36Z","date_published":"2013-12-05T00:00:00Z","intvolume":" 9","year":"2013","publication_status":"published","citation":{"mla":"Simmons, Kristina, et al. “Transformation of Stimulus Correlations by the Retina.” PLoS Computational Biology, vol. 9, no. 12, e1003344, Public Library of Science, 2013, doi:10.1371/journal.pcbi.1003344.","ama":"Simmons K, Prentice J, Tkačik G, et al. Transformation of stimulus correlations by the retina. PLoS Computational Biology. 2013;9(12). doi:10.1371/journal.pcbi.1003344","chicago":"Simmons, Kristina, Jason Prentice, Gašper Tkačik, Jan Homann, Heather Yee, Stephanie Palmer, Philip Nelson, and Vijay Balasubramanian. “Transformation of Stimulus Correlations by the Retina.” PLoS Computational Biology. Public Library of Science, 2013. https://doi.org/10.1371/journal.pcbi.1003344.","short":"K. Simmons, J. Prentice, G. Tkačik, J. Homann, H. Yee, S. Palmer, P. Nelson, V. Balasubramanian, PLoS Computational Biology 9 (2013).","ista":"Simmons K, Prentice J, Tkačik G, Homann J, Yee H, Palmer S, Nelson P, Balasubramanian V. 2013. Transformation of stimulus correlations by the retina. PLoS Computational Biology. 9(12), e1003344.","ieee":"K. Simmons et al., “Transformation of stimulus correlations by the retina,” PLoS Computational Biology, vol. 9, no. 12. Public Library of Science, 2013.","apa":"Simmons, K., Prentice, J., Tkačik, G., Homann, J., Yee, H., Palmer, S., … Balasubramanian, V. (2013). Transformation of stimulus correlations by the retina. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1003344"},"oa_version":"Published Version","department":[{"_id":"GaTk"}],"has_accepted_license":"1","scopus_import":1,"_id":"2277","day":"05","publist_id":"4667","article_number":"e1003344","oa":1,"pubrep_id":"410","title":"Transformation of stimulus correlations by the retina","file":[{"date_created":"2018-12-12T10:14:36Z","access_level":"open_access","file_id":"5089","content_type":"application/pdf","relation":"main_file","date_updated":"2020-07-14T12:45:36Z","file_name":"IST-2016-410-v1+1_journal.pcbi.1003344.pdf","checksum":"46722afc4f7eabb0831165d9c1b171ad","creator":"system","file_size":3115568}],"abstract":[{"lang":"eng","text":"Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources, but they can also carry cues about structured stimuli and may help the brain to correct for response errors. To investigate the effect of stimulus structure on redundancy in retina, we measured simultaneous responses from populations of retinal ganglion cells presented with natural and artificial stimuli that varied greatly in correlation structure; these stimuli and recordings are publicly available online. Responding to spatio-temporally structured stimuli such as natural movies, pairs of ganglion cells were modestly more correlated than in response to white noise checkerboards, but they were much less correlated than predicted by a non-adapting functional model of retinal response. Meanwhile, responding to stimuli with purely spatial correlations, pairs of ganglion cells showed increased correlations consistent with a static, non-adapting receptive field and nonlinearity. We found that in response to spatio-temporally correlated stimuli, ganglion cells had faster temporal kernels and tended to have stronger surrounds. These properties of individual cells, along with gain changes that opposed changes in effective contrast at the ganglion cell input, largely explained the pattern of pairwise correlations across stimuli where receptive field measurements were possible."}],"volume":9,"date_updated":"2023-02-23T14:07:04Z"}