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Long Time Behavior of an Age- and Leaky Memory-Structured Neuronal Population Equation

Fonte, Claudia; Schmutz, Valentin; (2022) Long Time Behavior of an Age- and Leaky Memory-Structured Neuronal Population Equation. SIAM Journal on Mathematical Analysis , 54 (4) pp. 4721-4756. 10.1137/21m1428571. Green open access

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Abstract

We study the asymptotic stability of a two-dimensional mean-field equation, which takes the form of a nonlocal transport equation and generalizes the time-elapsed neuron network model by the inclusion of a leaky memory variable. This additional variable can represent a slow fatigue mechanism, such as spike-frequency adaptation or short-term synaptic depression. Even though two-dimensional models are known to have emergent behaviors, such as population bursts, which are not observed in standard one-dimensional models, we show that in the weak connectivity regime, two-dimensional models behave like one-dimensional models, i.e., they relax to a unique stationary state. The proof is based on an application of Harris's ergodic theorem and a perturbation argument, both adapted to the case of a multidimensional equation with delays.

Type: Article
Title: Long Time Behavior of an Age- and Leaky Memory-Structured Neuronal Population Equation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1137/21m1428571
Publisher version: https://doi.org/10.1137/21m1428571
Language: English
Additional information: © 2022, Society for Industrial and Applied Mathematics. This work is licensed under a Creative Commons Attribution 4.0 International License.
Keywords: long time behavior, nonlocal transport equation, mean-field equation, Doeblin's and Harris's theorems, piecewise deterministic Markov process, spiking neuron, spike-frequency adaptation, short-term synaptic plasticity
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10178710
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