A Complex-Valued Firing-Rate Model That Approximates the Dynamics of Spiking Networks

PLoS Computational Biology

Volumn 9, Issue 10, 2013, Pages

  Schaffer, Evan S ^a   Ostojic, Srdjan ^a,b   Abbott, L F ^a  

^a New York Presbyterian Columbia University Medical Center   (United States)

^b ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; EIGENVALUES AND EIGENFUNCTIONS; ELECTROPHYSIOLOGY; FOKKER PLANCK EQUATION; NEURAL NETWORKS; SYNCHRONIZATION;

COMPLEX-VALUED; DYNAMIC FEATURES; FIRING RATE MODELS; FIRING RATES; MATHEMATICAL ANALYSIS; NEURAL-NETWORKS; SIMPLE++; SPIKING NETWORKS; TIME-CONSTANTS; TRADITIONAL FIRING;

DYNAMICS;

ARTICLE; CELL POPULATION; CELL SYNCHRONIZATION; CONTROLLED STUDY; FIRING RATE MODEL; FOKKER PLANCK EQUATION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; MOLECULAR DYNAMICS; NERVE CELL NETWORK; NERVE POTENTIAL; SPIKE WAVE;

ACTION POTENTIALS; ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; NERVE NET; NEURONS;

EID: 84887310609     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003301     Document Type: Article

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