A feedforward architecture accounts for rapid categorization

Proceedings of the National Academy of Sciences of the United States of America

Volumn 104, Issue 15, 2007, Pages 6424-6429

  Serre, Thomas ^a,b,c   Oliva, Aude ^c   Poggio, Tomaso ^a,b,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Computational model; Natural scenes; Object recognition; Preattentive vision; Visual cortex

Indexed keywords

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; COMPLEX FORMATION; MATHEMATICAL MODEL; NONHUMAN; POSITIVE FEEDBACK; PRIMATE; PRIORITY JOURNAL; RECOGNITION; VISUAL CORTEX; VISUAL SYSTEM;

ADULT; HUMANS; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PSYCHOPHYSICS; RECOGNITION (PSYCHOLOGY); VISUAL PERCEPTION;

ANIMALIA; PRIMATES;

EID: 34247096930     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0700622104     Document Type: Article

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