Multiscale analysis of slow-fast neuronal learning models with noise

DOI10.1186/2190-8567-2-13zbMath1291.60119OpenAlexW2109173863WikidataQ43248040 ScholiaQ43248040MaRDI QIDQ2251507

Gilles Wainrib, Mathieu N. Galtier

Publication date: 14 July 2014

Published in: The Journal of Mathematical Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/2190-8567-2-13

zbMATH Keywords

stochastic differential equationsmodel reductionunsupervised learningaveragingslow-fast systemsHebbian learningSTDPrecurrent networksinhomogeneous Markov process

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Neural biology (92C20) Averaging method for ordinary differential equations (34C29) Ordinary differential equations and systems with randomness (34F05) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

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