Simulation of a Chaos-Like Irregular Neural Firing Pattern Based on Improved Deterministic Chay Model

1Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, the deterministic Chay model was improved considering the generation mechanism of an action potential, with special relevance to the opening of potassium channel after depolarization. Then a chaos-like irregular non-periodic neural firing pattern, which was lying between period n and period (n + 1) bursting in a period-adding bifurcation and composed of alternating period n and period (n + 1) bursts, was also simulated by this improved Chay model. The nonlinear time series analysis results suggest this pattern display both deterministic and stochastic dynamic characteristics, as same as those results in the previous studies. This pattern was always simulated by stochastic neuron models and considered to be coherence resonance near the bifurcation points induced by the inner noise. However, there was no noise in this improved deterministic Chay model. This present paper attempted to discuss and preliminarily explain the generation mechanism of this firing pattern from the standpoint of the unification of certainty and randomness.

Cite

CITATION STYLE

APA

Jiang, Z., Wang, D., Sun, J., Shi, H., Shang, H., & Chen, Y. (2019). Simulation of a Chaos-Like Irregular Neural Firing Pattern Based on Improved Deterministic Chay Model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11554 LNCS, pp. 278–287). Springer Verlag. https://doi.org/10.1007/978-3-030-22796-8_30

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free