A neuronal network model of primary visual cortex explains spatial frequency selectivity

Journal of Computational Neuroscience

Volumn 26, Issue 2, 2009, Pages 271-287

  Zhu, Wei ^a   Shelley, Michael ^a   Shapley, Robert ^b  

^a NEW YORK UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Cortical excitation; Cortical inhibition; Feed forward input; Large scale neuronal network; Simple complex cells; Spatial frequency selectivity

Indexed keywords

NEURAL NETWORKS;

COMPLEX CELLS; CORTICAL EXCITATION; CORTICAL INHIBITION; FEED FORWARD; FEED FORWARD INPUT; LARGE-SCALE NEURONAL NETWORK; LARGE-SCALES; NEURONAL NETWORKS; SIMPLE++; SIMPLE/COMPLEX CELL; SPATIAL FREQUENCY SELECTIVITY;

NEURONS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; COMPARATIVE STUDY; CONTROLLED STUDY; DEPTH PERCEPTION; EVOKED CORTICAL RESPONSE; LATERAL GENICULATE NUCLEUS; LOW SPATIAL FREQUENCY VARIANCE; MACACA; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; NERVE CELL INHIBITION; NERVE CELL STIMULATION; NONHUMAN; POSTSYNAPTIC POTENTIAL; PRIMARY VISUAL CORTEX; PRIORITY JOURNAL; RECEPTIVE FIELD; SPATIAL FREQUENCY SELECTIVITY; SPIKE FIRING RATE; SYNAPTIC POTENTIAL; SYNAPTIC TRANSMISSION; VISUAL CORTEX;

EID: 62349121820     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-008-0110-x     Document Type: Article

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