Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks

Journal of Computational Neuroscience

Volumn 36, Issue 2, 2014, Pages 279-295

  Zhang, Jiwei ^a   Newhall, Katherine ^a   Zhou, Douglas ^b   Rangan, Aaditya ^a  

^a NEW YORK UNIVERSITY   (United States)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

First passage time; Homogeneity; Integrate and fire neuronal networks; Multiple firing events; Spiking neurons; Synchrony

Indexed keywords

NEURAL NETWORKS; POPULATION DISTRIBUTION;

CURRENT MODELING; FIRST PASSAGE TIME; HOMOGENEITY; INTEGRATE AND FIRE NEURONAL NETWORK; INTEGRATE AND FIRES; MULTIPLE FIRING EVENT; NEURONAL NETWORKS; POPULATIONS OF SPIKING NEURONS; SPIKING NEURONES; SYNCHRONY;

NEURONS;

ARTICLE; CELL COUNT; CELL DENSITY; CELL POPULATION; EXCITATORY POSTSYNAPTIC POTENTIAL; INHIBITORY POSTSYNAPTIC POTENTIAL; INTEGRATE AND FIRE NEURONAL NETWORK; MAGNITUDE ESTIMATION METHOD; MATHEMATICAL ANALYSIS; MULTIPLE FIRING EVENT; NERVE CELL NETWORK; NERVE CELL STIMULATION; PHYSICAL PHENOMENA; PRIORITY JOURNAL; SPIKE; STATISTICAL MODEL;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL INHIBITION; NEURONS; SYNAPSES; TIME FACTORS;

EID: 84896545086     PISSN: 09295313     EISSN: 15736873     Source Type: Journal    
DOI: 10.1007/s10827-013-0472-6     Document Type: Article

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