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Spatiotemporal characteristics in systems of diffusively coupled excitable slow-fast FitzHugh-Rinzel dynamical neurons

Mondal, Arnab and Mondal, Argha and Kumar Sharma, Sanjeev and Kumar Upadhyay, Ranjit and Antonopoulos, Chris (2021) 'Spatiotemporal characteristics in systems of diffusively coupled excitable slow-fast FitzHugh-Rinzel dynamical neurons.' Chaos: an interdisciplinary journal of nonlinear science, 31 (10). p. 103122. ISSN 1054-1500

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Abstract

In this paper, we study an excitable, biophysical system that supports wave propagation of nerve impulses. We con- sider a slow-fast, FitzHugh-Rinzel neuron model where only the membrane voltage interacts diffusively, giving rise to the formation of spatiotemporal patterns. We focus on local, nonlinear excitations and diverse neural responses in an excitable 1- and 2-dimensional configuration of diffusively coupled FitzHugh-Rinzel neurons. The study of the emerg- ing spatiotemporal patterns is essential in understanding the working mechanism in different brain areas. We derive analytically the coefficients of the amplitude equations in the vicinity of Hopf bifurcations and characterize various patterns, including spirals exhibiting complex geometric substructures. Further, we derive analytically the condition for the development of antispirals in the neighborhood of the bifurcation point. The emergence of broken target waves can be observed to form spiral-like profiles. The spatial dynamics of the excitable system exhibits 2- and multi-arm spirals for small diffusive couplings. Our results reveal a multitude of neural excitabilities and possible conditions for the emergence of spiral-wave formation. Finally, we show that the coupled excitable systems with different firing characteristics, participate in a collective behavior that may contribute significantly to irregular neural dynamics.

Item Type: Article
Additional Information: 18 pages, 6 figures
Uncontrolled Keywords: Brain; Neurons; Diffusion; Action Potentials; Models, Neurological
Divisions: Faculty of Science and Health
Faculty of Science and Health > Mathematical Sciences, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 10 Dec 2021 11:57
Last Modified: 18 Aug 2022 10:44
URI: http://repository.essex.ac.uk/id/eprint/31188

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