A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model

Neural Networks

Volumn 21, Issue 9, 2008, Pages 1380-1391

  Srinivasa, Narayan ^a   Grossberg, Stephen ^b  

^a Hughes Aircraft Co   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; CONTROL SYSTEMS; MECHANICS; MOTORS; SEPARATION; TARGETS; THREE DIMENSIONAL;

AUTONOMOUS SYSTEMS; CAMERA SYSTEMS; DEGREES OF FREEDOMS; EYE CAMERAS; EYE POSITIONS; FAULT-TOLERANT; FEATURE POINTS; FOCAL LENGTHS; GENERAL NATURES; HEAD AND NECKS; INTERNAL COORDINATES; LEARNING PROCESSES; MOTOR SYSTEMS; NEURAL MODELS; SELF-ORGANIZING; SEPARATION DISTANCES; STEREO CAMERAS;

EYE MOVEMENTS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CAMERA; COMPUTER SIMULATION; COMPUTER SYSTEM; LEARNING; PRIORITY JOURNAL; SACCADIC EYE MOVEMENT; VISUOMOTOR COORDINATION;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HEAD; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NECK; NEURAL NETWORKS (COMPUTER); OCULAR PHYSIOLOGICAL PHENOMENA; PSYCHOMOTOR PERFORMANCE; RETINA; ROTATION; SACCADES; VISUAL PERCEPTION;

EID: 54849415228     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2008.07.007     Document Type: Article

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