A Nonlinear Hebbian Network that Learns to Detect Disparity in Random-Dot Stereograms

Neural Computation

Volumn 8, Issue 3, 1996, Pages 545-566

  Lee, Christopher W ^a   Olshausen, Bruno A ^a,b  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER SIMULATION; NONLINEAR SYSTEM; PHYSIOLOGY; SYNAPTIC TRANSMISSION; VISUAL FIELD;

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; SYNAPTIC TRANSMISSION; VISUAL FIELDS;

EID: 0030115278     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/neco.1996.8.3.545     Document Type: Article

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