Analyzing multicomponent receptive fields from neural responses to natural stimuli

Network: Computation in Neural Systems

Volumn 22, Issue 1-4, 2011, Pages 45-73

  Rowekamp, Ryan J ^a,b   Sharpee, Tatyana O ^a,b  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Information theory; natural scenes; single neuron computation; visual system

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; REVIEW;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS;

EID: 82855160917     PISSN: 0954898X     EISSN: 13616536     Source Type: Journal    
DOI: 10.3109/0954898X.2011.566303     Document Type: Review

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