Regulation of Chemical Autapse on an FHN-ML Neuronal System

Author:

Qu Lianghui12,Du Lin13ORCID,Zhang Honghui1,Cao Zilu1,Deng Zichen34

Affiliation:

1. School of Natural and Applied Sciences, Northwestern Polytechnical University, Xi’an 710129, P. R. China

2. College of Science, Zhongyuan University of Technology, Zhengzhou 450007, P. R. China

3. MIIT Key Laboratory of Dynamics and Control of Complex Systems, Xi’an 710072, P. R. China

4. School of Natural and Applied Sciences, School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi’an 710129, P. R. China

Abstract

To explore the feasibility of physiological manipulation of autaptic structures, the effects of autaptic connections on an FHN-ML neuronal system with phase noise stimulation are studied systematically. Firstly, according to the dynamic analysis of the FHN-ML neuron model, a saddle-node bifurcation can occur on an invariant circle. Under the action of external oscillatory current with phase noise, the neuronal firing activity is sensitive to phase noise with less intensity, and an appropriate noise intensity can induce a significant stochastic resonance phenomenon. Secondly, the chemical autaptic function can effectively regulate the neuronal discharge activity. An inhibitory autapse can not only induce the transition from depolarized resting to periodic spiking, but can also induce the FHN-ML neuron suppressed by strong phase noise to generate a pronounced intermittent high-level burst-like discharge mode when the autaptic conductance is greater than 0.1. Finally, for a two-dimensional regular FHN-ML neuronal network, a small amount of autaptic structures can induce some special waveforms to restore the propagation of nerve impulses interrupted by phase noise disturbance. This indicates the significant regulation of autapses on spatial patterns of the FHN-ML neuronal network. The study can provide some theoretical guidance for building autaptic structures in local areas to modulate the dynamic behaviors of biological neuronal systems.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation,Engineering (miscellaneous)

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