Parameter learning but not structure learning: A Bayesian network model of constraints on early perceptual learning

Journal of Vision

Volumn 7, Issue 1, 2007, Pages

  Michel, Melchi M ^a   Jacobs, Robert A ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Bayesian networks; Cue integration; Motion discrimination; Perceptual cue acquisition; Perceptual learning

Indexed keywords

ARTICLE; ASSOCIATION; AUDITORY DISCRIMINATION; AUDITORY STIMULATION; BAYES THEOREM; BINOCULAR VISION; BRIGHTNESS; CINERADIOGRAPHY; CONTROLLED STUDY; DIRECTIONAL VISION; HUMAN; HUMAN EXPERIMENT; LEARNING STYLE; LIGHT; MAXIMUM LIKELIHOOD METHOD; NORMAL DISTRIBUTION; PARAMETER LEARNING; PERCEPTUAL LEARNING; SENSORY STIMULATION; TASK PERFORMANCE; VISUAL DISCRIMINATION; VISUAL STIMULATION; ARTIFICIAL NEURAL NETWORK; DEPTH PERCEPTION; LEARNING; MOVEMENT PERCEPTION; PHYSIOLOGY; SOUND;

BAYES THEOREM; CUES; HUMANS; LEARNING; LIGHT; MOTION PERCEPTION; NEURAL NETWORKS (COMPUTER); SOUND; VISION DISPARITY;

EID: 33846340144     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/7.1.4     Document Type: Article

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