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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Mean field limits for nonlinear spatially extended Hawkes processes with exponential memory kernels

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Author(s):
Chevallier, J. [1] ; Duarte, A. [2] ; Locherbach, E. [1] ; Ost, G. [2]
Total Authors: 4
Affiliation:
[1] Univ Cergy Pontoise, AGM UMR CNRS 8088, 2 Ave Adolphe Chauvin, F-95302 Cergy Pontoise - France
[2] Univ Sao Paulo, Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Stochastic Processes and their Applications; v. 129, n. 1, p. 1-27, JAN 2019.
Web of Science Citations: 2
Abstract

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. (AU)

FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 16/17791-9 - Interacting processes with variable range memory in neurobiological models
Grantee:Aline Duarte de Oliveira
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/17789-4 - Stability, statistical selection of models and hydrodynamic boundary for interacting chains with variable reach memory
Grantee:Guilherme Ost de Aguiar
Support Opportunities: Scholarships in Brazil - Post-Doctoral