Synchronization of Chaos in Neural Systems

Frontiers in Applied Mathematics and Statistics

Sou Nobukawa¹  Haruhiko Nishimura² 

[1] Department of Computer Science, Chiba Institute of Technology, Narashino, Japan;Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan;

关键词: chaotic resonance;    stochastic resonance;    neural system;    spiking neural network;    chaos control;    synchronization;   

DOI  :  10.3389/fams.2020.00019

来源: DOAJ

【 摘 要 】

Multiple non-linear systems demonstrate the phenomenon where fluctuations enhance the synchronization and periodic behaviors of the system. In the phenomenon induced by stochastic additive noise, stochastic resonance, noise enhances the synchronization of system behaviors against weak input signals. Along with stochastic noise, deterministic chaos induces a phenomenon like stochastic resonance called chaotic resonance. This review summarizes the progress of studies on chaotic resonance over the most recent decade. First, the fundamental characteristics of chaotic resonance are reviewed. Second, chaotic resonance in brain informatics, including cerebellar learning and deterministic fluctuations observed in electroencephalography/magnetoencephalography examinations, are reviewed. Third, the “reduced region of orbit” method is reviewed for the potential application of chaotic resonance. This review emphasizes the potential importance of recapturing neural fluctuation functionality, previously considered in the framework of stochastic resonance (also called stochastic facilitation), through chaotic resonance and assesses the effectiveness of applying chaotic resonance.

【 授权许可】

Unknown