Feature selection in simple neurons: How coding depends on spiking dynamics

Neural Computation

Volumn 22, Issue 3, 2010, Pages 581-598

  Famulare, Michael ^a   Fairhall, Adrienne ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CELL MEMBRANE POTENTIAL; COMPUTER SIMULATION; HUMAN; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; STATISTICAL MODEL; STATISTICS; TIME;

ACTION POTENTIALS; ALGORITHMS; COMPUTER SIMULATION; HUMANS; LINEAR MODELS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS; STOCHASTIC PROCESSES; TIME FACTORS;

EID: 77953017373     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.02-09-956     Document Type: Article

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