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Long time behavior of a mean-field model of interacting neurons

Author

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  • Cormier, Quentin
  • Tanré, Etienne
  • Veltz, Romain

Abstract

We study the long time behavior of the solution to some McKean–Vlasov stochastic differential equation (SDE) driven by a Poisson process. In neuroscience, this SDE models the asymptotic dynamic of the membrane potential of a spiking neuron in a large network. We prove that for a small enough interaction parameter, any solution converges to the unique (in this case) invariant probability measure. To this aim, we first obtain global bounds on the jump rate and derive a Volterra type integral equation satisfied by this rate. We then replace temporary the interaction part of the equation by a deterministic external quantity (we call it the external current). For constant current, we obtain the convergence to the invariant probability measure. Using a perturbation method, we extend this result to more general external currents. Finally, we prove the result for the non-linear McKean–Vlasov equation.

Suggested Citation

  • Cormier, Quentin & Tanré, Etienne & Veltz, Romain, 2020. "Long time behavior of a mean-field model of interacting neurons," Stochastic Processes and their Applications, Elsevier, vol. 130(5), pages 2553-2595.
    • Handle: RePEc:eee:spapps:v:130:y:2020:i:5:p:2553-2595
    DOI: 10.1016/j.spa.2019.07.010
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    References listed on IDEAS

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    1. Chevallier, Julien, 2017. "Mean-field limit of generalized Hawkes processes," Stochastic Processes and their Applications, Elsevier, vol. 127(12), pages 3870-3912.
    2. P. Hodara & N. Krell & E. Löcherbach, 2018. "Non-parametric estimation of the spiking rate in systems of interacting neurons," Statistical Inference for Stochastic Processes, Springer, vol. 21(1), pages 81-111, April.
    3. Delarue, F. & Inglis, J. & Rubenthaler, S. & Tanré, E., 2015. "Particle systems with a singular mean-field self-excitation. Application to neuronal networks," Stochastic Processes and their Applications, Elsevier, vol. 125(6), pages 2451-2492.
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    Cited by:

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