Category-specificity can emerge from bottom-up visual characteristics: Evidence from a modular neural network

Brain and Cognition

Volumn 61, Issue 3, 2006, Pages 269-279

  Gale, Tim M ^a,b   Laws, Keith R ^b  

^a QUEEN ELIZABETH II HOSPITAL   (United Kingdom)

^b UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

Author keywords

Bottom up processing; Category specific; Neural network; Self organising map; Superordinate; Visual overlap

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; MODEL; PRIORITY JOURNAL; RECOGNITION; SEMANTICS; VISION; VISUAL SYSTEM;

FEMALE; HUMANS; MALE; MEMORY DISORDERS; MIDDLE AGED; NERVE NET; PERCEPTUAL MASKING; RECOGNITION (PSYCHOLOGY); VISUAL PERCEPTION;

EID: 33745713967     PISSN: 02782626     EISSN: 10902147     Source Type: Journal    
DOI: 10.1016/j.bandc.2006.02.001     Document Type: Article

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