Nimble: A kernel density model of saccade-based visual memory

Journal of Vision

Volumn 8, Issue 14, 2008, Pages

  Barrington, Luke ^a   Marks, Tim K ^b   Hsiao, Janet Hui Wen ^b   Cottrell, Garrison W ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Computational modeling; Eye movements; Face recognition; Kernel density estimation; Memory; Object recognition

Indexed keywords

ARTICLE; BAYES THEOREM; EYE FIXATION; FACE; FEMALE; HUMAN; MALE; MEMORY; PATTERN RECOGNITION; PHYSIOLOGY; PROBABILITY; PSYCHOLOGICAL MODEL; RECOGNITION; REPRODUCIBILITY; SACCADIC EYE MOVEMENT; VISION;

BAYES THEOREM; FACE; FEMALE; FIXATION, OCULAR; HUMANS; MALE; MEMORY; MODELS, PSYCHOLOGICAL; PATTERN RECOGNITION, VISUAL; PROBABILITY; RECOGNITION (PSYCHOLOGY); REPRODUCIBILITY OF RESULTS; SACCADES; VISUAL PERCEPTION;

EID: 56349100680     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/8.14.17     Document Type: Article

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