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A memristive model of spatio-temporal excitability

Accepted version
Peer-reviewed

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Abstract

This paper introduces a model that unifies the mechanisms of neuronal excitability in both time and space. As a starting point, we revisit both a key model of temporal excitability, proposed by Hodgkin and Huxley, and a key model of spatial excitability, proposed by Amari. We then propose a novel model that captures the temporal and spatial properties of both models. Our aim is to regard neuronal excitability as a property across scales, and to explore the benefits of modeling excitability with one and the same mechanism, whether at the cellular or the population level.

Description

Journal Title

2025 IEEE 64th Conference on Decision and Control (CDC)

Conference Name

2025 IEEE 64th Conference on Decision and Control (CDC)

Journal ISSN

0743-1546
2576-2370

Volume Title

00

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
European Research Council