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Theory of neural coding predicts an upper bound on estimates of memory variability
Author(s) -
Paul M. Bays,
Robert Taylor
Publication year - 2019
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/19.10.203b
Subject(s) - neural coding , coding (social sciences) , computer science , population , recall , encoding (memory) , working memory , upper and lower bounds , fidelity , algorithm , pattern recognition (psychology) , artificial intelligence , mathematics , cognition , statistics , psychology , cognitive psychology , neuroscience , telecommunications , demography , sociology , mathematical analysis

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