On the maximization of information flow between spiking neurons

Neural Computation

Volumn 21, Issue 11, 2009, Pages 2991-3009

  Parra, Lucas C ^a   Beck, Jeffrey M ^b   Bell, Anthony J ^c  

^a City University of New York   (United States)

^b UNIVERSITY OF ROCHESTER   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; ELECTROPHYSIOLOGY; ENTROPY; EXCITATORY POSTSYNAPTIC POTENTIAL; FEEDBACK SYSTEM; INFORMATION SCIENCE; NERVE CELL; NERVE CELL PLASTICITY; NONLINEAR SYSTEM; PHYSIOLOGY; POISSON DISTRIBUTION;

ALGORITHMS; ELECTROPHYSIOLOGY; ENTROPY; EXCITATORY POSTSYNAPTIC POTENTIALS; FEEDBACK; INFORMATION THEORY; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS; NONLINEAR DYNAMICS; POISSON DISTRIBUTION;

EID: 77953779789     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.04-06-184     Document Type: Article

References (13)

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