AUTHOR=Nobukawa Sou , Nishimura Haruhiko 

TITLE=Synchronization of Chaos in Neural Systems

JOURNAL=Frontiers in Applied Mathematics and Statistics

VOLUME=Volume 6 - 2020

YEAR=2020

URL=https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2020.00019

DOI=10.3389/fams.2020.00019

ISSN=2297-4687

ABSTRACT=Multiple non-linear systems demonstrate the phenomenon where fluctuations enhance the synchronization and periodic behaviors of systems. As the phenomenon induced by stochastic additive noise, in 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 characteristic of chaotic resonance was reviewed. Second, chaotic resonance in brain informatics, including cerebellar learning and deterministic fluctuations observed in electroencephalography/magnetoencephalography examinations, were reviewed. Third, the “reduced region of orbit” method was reviewed for the potential application of chaotic resonance. Through 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), and assesses the effectiveness of applying chaotic resonance.