Canard Mechanism and Rhythm Dynamics of Neuron Models

Author:

Zhan Feibiao1ORCID,Zhang Yingteng2,Song Jian34,Liu Shenquan3

Affiliation:

1. Department of Applied Mathematics, Nanjing Audit University, Nanjing 211815, China

2. Department of Mathematics, Taizhou University, Taizhou 225300, China

3. School of Mathematics, South China University of Technology, Guangzhou 510640, China

4. School of Mathematical and Computational Sciences, Massey University, Auckland 4442, New Zealand

Abstract

Canards are a type of transient dynamics that occur in singularly perturbed systems, and they are specific types of solutions with varied dynamic behaviours at the boundary region. This paper introduces the emergence and development of canard phenomena in a neuron model. The singular perturbation system of a general neuron model is investigated, and the link between the transient transition from a neuron model to a canard is summarised. First, the relationship between the folded saddle-type canard and the parabolic burster, as well as the firing-threshold manifold, is established. Moreover, the association between the mixed-mode oscillation and the folded node type is unique. Furthermore, the connection between the mixed-mode oscillation and the limit-cycle canard (singular Hopf bifurcation) is stated. In addition, the link between the torus canard and the transition from tonic spiking to bursting is illustrated. Finally, the specific manifestations of these canard phenomena in the neuron model are demonstrated, such as the singular Hopf bifurcation, the folded-node canard, the torus canard, and the “blue sky catastrophe”. The summary and outlook of this paper point to the realistic possibility of canards, which have not yet been discovered in the neuron model.

Funder

National Natural Science Foundation of China

Basic Science (Natural Science) Research Project of Colleges and Universities of Jiangsu Province

Research and Cultivation Project for Young Teachers of Nanjing Audit University

Scientific Research Foundation of high-level personnel of Taizhou University

2022 Doctoral program of Entrepreneurship and Innovation in Jiangsu Province

“2022 Taizhou Tuo Ju Project” for Young science and Technology Talents, the Project of Excellent Science and Technology Innovation Team of Taizhou University, the China Scholarship Council

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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4. Canards, folded nodes and mixed-mode oscillations in piecewise-linear slow-fast systems;Desroches;SIAM Rev.,2016

5. Understanding anomalous delays in a model of intracellular calcium dynamics;Harvey;Chaos,2010

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