{"tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"publication_status":"published","oa_version":"Published Version","oa":1,"has_accepted_license":"1","intvolume":"        13","file":[{"checksum":"796a1026076af6f4405a47d985bc7b68","file_size":14555676,"access_level":"open_access","date_updated":"2020-07-14T12:47:40Z","creator":"system","content_type":"application/pdf","date_created":"2018-12-12T10:07:47Z","file_name":"IST-2017-898-v1+1_journal.pcbi.1005582.pdf","file_id":"4645","relation":"main_file"}],"department":[{"_id":"GaTk"}],"_id":"680","title":"Sensory noise predicts divisive reshaping of receptive fields","date_updated":"2023-02-23T14:10:54Z","month":"06","volume":13,"date_created":"2018-12-11T11:47:53Z","license":"https://creativecommons.org/licenses/by/4.0/","year":"2017","article_number":"e1005582","type":"journal_article","author":[{"last_name":"Chalk","full_name":"Chalk, Matthew J","first_name":"Matthew J","id":"2BAAC544-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7782-4436"},{"first_name":"Paul","full_name":"Masset, Paul","last_name":"Masset"},{"first_name":"Boris","last_name":"Gutkin","full_name":"Gutkin, Boris"},{"full_name":"Denève, Sophie","last_name":"Denève","first_name":"Sophie"}],"ddc":["571"],"doi":"10.1371/journal.pcbi.1005582","scopus_import":1,"citation":{"chicago":"Chalk, Matthew J, Paul Masset, Boris Gutkin, and Sophie Denève. “Sensory Noise Predicts Divisive Reshaping of Receptive Fields.” <i>PLoS Computational Biology</i>. Public Library of Science, 2017. <a href=\"https://doi.org/10.1371/journal.pcbi.1005582\">https://doi.org/10.1371/journal.pcbi.1005582</a>.","ieee":"M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Sensory noise predicts divisive reshaping of receptive fields,” <i>PLoS Computational Biology</i>, vol. 13, no. 6. Public Library of Science, 2017.","ama":"Chalk MJ, Masset P, Gutkin B, Denève S. Sensory noise predicts divisive reshaping of receptive fields. <i>PLoS Computational Biology</i>. 2017;13(6). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1005582\">10.1371/journal.pcbi.1005582</a>","ista":"Chalk MJ, Masset P, Gutkin B, Denève S. 2017. Sensory noise predicts divisive reshaping of receptive fields. PLoS Computational Biology. 13(6), e1005582.","mla":"Chalk, Matthew J., et al. “Sensory Noise Predicts Divisive Reshaping of Receptive Fields.” <i>PLoS Computational Biology</i>, vol. 13, no. 6, e1005582, Public Library of Science, 2017, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1005582\">10.1371/journal.pcbi.1005582</a>.","short":"M.J. Chalk, P. Masset, B. Gutkin, S. Denève, PLoS Computational Biology 13 (2017).","apa":"Chalk, M. J., Masset, P., Gutkin, B., &#38; Denève, S. (2017). Sensory noise predicts divisive reshaping of receptive fields. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1005582\">https://doi.org/10.1371/journal.pcbi.1005582</a>"},"related_material":{"record":[{"relation":"research_data","id":"9855","status":"public"}]},"issue":"6","language":[{"iso":"eng"}],"publist_id":"7035","publisher":"Public Library of Science","abstract":[{"lang":"eng","text":"In order to respond reliably to specific features of their environment, sensory neurons need to integrate multiple incoming noisy signals. Crucially, they also need to compete for the interpretation of those signals with other neurons representing similar features. The form that this competition should take depends critically on the noise corrupting these signals. In this study we show that for the type of noise commonly observed in sensory systems, whose variance scales with the mean signal, sensory neurons should selectively divide their input signals by their predictions, suppressing ambiguous cues while amplifying others. Any change in the stimulus context alters which inputs are suppressed, leading to a deep dynamic reshaping of neural receptive fields going far beyond simple surround suppression. Paradoxically, these highly variable receptive fields go alongside and are in fact required for an invariant representation of external sensory features. In addition to offering a normative account of context-dependent changes in sensory responses, perceptual inference in the presence of signal-dependent noise accounts for ubiquitous features of sensory neurons such as divisive normalization, gain control and contrast dependent temporal dynamics."}],"file_date_updated":"2020-07-14T12:47:40Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","publication":"PLoS Computational Biology","pubrep_id":"898","day":"01","status":"public","publication_identifier":{"issn":["1553734X"]},"date_published":"2017-06-01T00:00:00Z"}