The role of fluctuations in coarse-grained descriptions of neuronal networks

DOI10.4310/CMS.2012.v10.n1.a14zbMath1277.82044OpenAlexW2062108228MaRDI QIDQ357514

Gregor Kovačič, David Cai, David W. McLaughlin, Maxim S. Shkarayev, Louis Tao, Aaditya V. Rangan

Publication date: 30 July 2013

Published in: Communications in Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/cms.2012.v10.n1.a14

zbMATH Keywords

Fokker-Planck equationkinetic theoryintegrate-and-fire neuronal networkmean driven limit

Mathematics Subject Classification ID

Neural biology (92C20) Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Applications of graph theory to circuits and networks (94C15) Boltzmann equations (35Q20)

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