Spike train statistics and dynamics with synaptic input from any renewal process: A population density approach

Neural Computation

Volumn 21, Issue 2, 2009, Pages 360-396

  Ly, Cheng ^a   Tranchina, Daniel ^b  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; EXCITATORY POSTSYNAPTIC POTENTIAL; LETTER; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; PROBABILITY; SYNAPSE; TIME;

ACTION POTENTIALS; ANIMALS; EXCITATORY POSTSYNAPTIC POTENTIALS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; NONLINEAR DYNAMICS; PROBABILITY; SYNAPSES; TIME FACTORS;

EID: 66249117496     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2008.03-08-743     Document Type: Letter

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