Open AccessA data-driven approach to stimulus selection reveals the importance of visual properties in the neural representation of objects.
Author(s) -
David Coggan,
David Watson,
Tom T. Hartley,
Daniel H. Baker,
Timothy J. Andrews
Publication year - 2017
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/17.10.29
Subject(s) - stimulus (psychology) , categorical variable , computer science , artificial intelligence , pattern recognition (psychology) , cluster analysis , visual objects , cognitive neuroscience of visual object recognition , visual perception , communication , perception , object (grammar) , cognitive psychology , psychology , machine learning , neuroscience