A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamics

Neural Computation

Volumn 25, Issue 10, 2013, Pages 2682-2708

  Ly, Cheng ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; CYTOLOGY; EXCITATORY POSTSYNAPTIC POTENTIAL; MONTE CARLO METHOD; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; POISSON DISTRIBUTION; POPULATION; PROBABILITY; REPRODUCIBILITY; SYNAPSE;

ALGORITHMS; COMPUTER SIMULATION; EXCITATORY POSTSYNAPTIC POTENTIALS; MODELS, NEUROLOGICAL; MONTE CARLO METHOD; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; POISSON DISTRIBUTION; POPULATION; PROBABILITY; REPRODUCIBILITY OF RESULTS; SYNAPSES;

EID: 84887339838     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00489     Document Type: Article

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