| STOCHASTIC PROCESSES AND THEIR APPLICATIONS | 卷:129 |
| Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels | |
| Article | |
| Chevallier, J.1  Duarte, A.2  Locherbach, E.1  Ost, G.2  | |
| [1] Univ Cergy Pontoise, AGM UMR CNRS 8088, 2 Ave Adolphe Chauvin, F-95302 Cergy Pontoise, France | |
| [2] Univ Sao Paulo, Sao Paulo, Brazil | |
| 关键词: Hawkes processes; Spatial mean-field; Propagation of Chaos; Neural field equation; Coupling; | |
| DOI : 10.1016/j.spa.2018.02.007 | |
| 来源: Elsevier | |
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【 摘 要 】
We consider spatially extended systems of interacting nonlinear Hawkes processes modeling large systems of neurons placed in R d and study the associated mean field limits. As the total number of neurons tends to infinity, we prove that the evolution of a typical neuron, attached to a given spatial position, can be described by a nonlinear limit differential equation driven by a Poisson random measure. The limit process is described by a neural field equation. As a consequence, we provide a rigorous derivation of the neural field equation based on a thorough mean field analysis. (C) 2018 Elsevier B.V. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_spa_2018_02_007.pdf | 440KB |
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