Population coding of visual space: Modeling

Frontiers in Computational Neuroscience

Volumn , Issue FEBRUARY, 2011, Pages

  Lehky, Sidney R ^a   Sereno, Anne B ^b  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^b UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

Author keywords

Low dimensional manifolds; Multidimensional scaling; Spatial vision

Indexed keywords

ABSOLUTE POSITION; CRITICAL PARAMETER; FIRING RATES; GAUSSIANS; HIGH-DIMENSIONAL; LOW-DIMENSIONAL MANIFOLDS; MULTI-DIMENSIONAL SCALING; NEURAL POPULATION RESPONSE; NEURAL REPRESENTATIONS; POPULATION CODING; POPULATION LEVELS; RECEPTIVE FIELDS; REFERENCE FRAME; RELATIVE POSITIONS; RF CHARACTERISTICS; RF DISPERSION; SPATIAL REPRESENTATIONS; SPATIAL RESPONSE; SPATIAL VISION; STIMULUS RESPONSE; TUNING CURVE; TWO PARAMETER; VENTRAL STREAMS; VISUAL AREAS; VISUAL SPACE;

CODES (SYMBOLS); DISPERSIONS; OBJECT RECOGNITION;

THREE DIMENSIONAL;

ARTICLE; DEPTH PERCEPTION; EYE FIXATION; NERVE STIMULATION; RECEPTIVE FIELD; SENSORY SYSTEM ELECTROPHYSIOLOGY; SPATIAL VISION; VISION; VISUAL INFORMATION;

EID: 84855249711     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2010.00155     Document Type: Article

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