Open AccessObject gist features capture the structure of neural responses to objects
Author(s) -
Talia Konkle,
Alfonso Caramazza
Publication year - 2014
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/14.10.1292
Subject(s) - artificial intelligence , object (grammar) , computer science , context (archaeology) , feature (linguistics) , pattern recognition (psychology) , set (abstract data type) , gist , computer vision , neural correlates of consciousness , psychology , cognition , geography , neuroscience , biology , stromal cell , cancer research , linguistics , philosophy , archaeology , programming language