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Toward a unified theory of efficient, predictive, and sparse coding

A central goal in theoretical neuroscience is to predict the response properties of sensory neurons from first principles. To this end, “efficient coding” posits that sensory neurons encode maximal information about their inputs given internal constraints. There exist, however, many variants of effi...

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書誌詳細
出版年:Proc Natl Acad Sci U S A
主要な著者: Chalk, Matthew, Marre, Olivier, Tkačik, Gašper
フォーマット: Artigo
言語:Inglês
出版事項: National Academy of Sciences 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5776796/
https://ncbi.nlm.nih.gov/pubmed/29259111
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1711114115
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