Fokker-planck description of conductance-based integrate-and-fire neuronal networks

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 80, Issue 2, 2009, Pages

  Kovačič, Gregor ^a   Tao, Louis ^b   Rangan, Aaditya V ^c   Cai, David ^c,d  

^a Research Rensselaer Polytechnic Institute   (United States)

^b PEKING UNIVERSITY   (China)

^c NEW YORK UNIVERSITY   (United States)

^d SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC APPROXIMATION; EQUILIBRIUM STATE; FOKKER PLANCK; FOKKER-PLANCK EQUATIONS; GAIN CURVE; INTEGRATE AND FIRES; NEURONAL NETWORKS; SMALL FLUCTUATION;

COMPUTER SIMULATION LANGUAGES; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION; RECONNAISSANCE AIRCRAFT;

FOKKER PLANCK EQUATION;

EID: 68949170996     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.80.021904     Document Type: Article

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