A decision-making Fokker-Planck model in computational neuroscience

DOI10.1007/s00285-010-0391-3zbMath1232.92033OpenAlexW2053381107WikidataQ51621263 ScholiaQ51621263MaRDI QIDQ662559

Simona Mancini, José Antonio Carrillo, Stephane Cordier

Publication date: 24 February 2012

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-010-0391-3

zbMATH Keywords

general relative entropy

Mathematics Subject Classification ID

Neural biology (92C20) Applications of stochastic analysis (to PDEs, etc.) (60H30) Computational methods for problems pertaining to biology (92-08) Fokker-Planck equations (35Q84)

Related Items (7)

Parameter estimation in SDEs via the Fokker-Planck equation: likelihood function and adjoint based gradient computation ⋮ Lie symmetry analysis and some new exact solutions of the Fokker-Planck equation ⋮ On the exponential convergence rate for a non-gradient Fokker-Planck equation in computational neuroscience ⋮ Exponential equilibration of genetic circuits using entropy methods ⋮ On the a posteriori error analysis for linear Fokker-Planck models in convection-dominated diffusion problems ⋮ Parameter identification and uncertainty quantification in stochastic state space models and its application to texture analysis ⋮ Noise-driven bifurcations in a neural field system modelling networks of grid cells

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