2021
DOI: 10.1063/5.0055389
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Spatiotemporal characteristics in systems of diffusively coupled excitable slow–fast FitzHugh–Rinzel dynamical neurons

Abstract: In this paper, we study an excitable, biophysical system that supports wave propagation of nerve impulses. We consider 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 emerging spatiotemporal patterns is essential in understa… Show more

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Cited by 11 publications
(3 citation statements)
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“…We have already studied the dynamics of system (1) in 38 . In this work, we consider the case of two nearestneighbors coupled with weak coupling.…”
Section: The Biophysical Excitable Model and The Approach To Finding ...mentioning
confidence: 99%
“…We have already studied the dynamics of system (1) in 38 . In this work, we consider the case of two nearestneighbors coupled with weak coupling.…”
Section: The Biophysical Excitable Model and The Approach To Finding ...mentioning
confidence: 99%
“…Neurons exist in a complex electrophysiological environment, thus their discharge activities will inevitably be affected by external stimuli or feedback from synapses including autapse, thereby stimulating various discharge modes [1,2]. And it is the emergence of these discharge patterns that has facilitated the investigation of dynamical properties of the neuron systems [3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Complex neuron firing activities and dynamic phenomena are involved in neural information processing, including resting state and periodic and chaotic discharge modes [1][2][3]. Considering the complex electrophysiological activities, the most important factor regulating the discharge activities of nerves is the adaptive adjustment of external stimuli and electromagnetic induction [4].…”
Section: Introductionmentioning
confidence: 99%