Paper Info
Title
Simulation Of A Chaos-Like Irregular Neural Firing Pattern Based On Improved Deterministic Chay Model
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.
Year
DOI
Venue
2019
10.1007/978-3-030-22796-8_30
ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT I
Keywords
Field
DocType
Neural discharge activity, Deterministic Chay model, Action potential, Chaos-like, Neural firing pattern
Statistical physics,Bursting,Pattern recognition,Computer science,Coherence (physics),Artificial intelligence,Nonlinear time series analysis,Randomness,Bifurcation
Conference
Volume
ISSN
Citations 
11554
0302-9743
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Zhongting Jiang122.05
Dong Wang21012.67
Jin Sun33115.65
Hengyue Shi400.34
Huijie Shang522.05
Yuehui Chen61167106.13