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On the Exponential Convergence Rate for a Non-Gradient Fokker-Planck Equation in Computational Neuroscience
This paper concerns the proof of the exponential rate of convergence of the solution of a Fokker-Planck equation, with a drift term not being the gradient of a potential function and endowed by Robin type boundary conditions. This kind of problem arises, for example, in the study of interacting neur...
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Published in: | Journal of elliptic and parabolic equations 2015-10, Vol.1 (2), p.271-279 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | This paper concerns the proof of the exponential rate of convergence of the solution of a Fokker-Planck equation, with a drift term not being the gradient of a potential function and endowed by Robin type boundary conditions. This kind of problem arises, for example, in the study of interacting neurons populations. Previous studies have numerically shown that, after a small period of time, the solution of the evolution problem exponentially converges to the stable state of the equation. |
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ISSN: | 2296-9020 2296-9039 |
DOI: | 10.1007/BF03377381 |