Influence of Additive and Contaminant Noise on Control-Feedback Induced Chaotic Resonance in Excitatory-Inhibitory Neural Systems

Recent developments in engineering applications of stochastic resonance have expanded to various fields, especially biomedicine. Deterministic chaos generates a phenomenon known as chaotic resonance, which is similar resonance. However, are limited owing the problems controlling chaos, despite its uniquely high sensitivity weak signal responses. To tackle these problems, previous study proposed “reduced region orbit” (RRO) feedback methods, cause using external signals. this evaluation was conducted under noise-free conditions. In actual environments, background noise and measurement errors inevitable estimation RRO strength; therefore, their impact must be elucidated for application methods. study, we evaluated induced by method neural systems presence noise. Specifically, focused on signals system composed excitatory inhibitory neurons, typical wherein observed additive including error (called contaminant noise). It found that relatively small strength, both types commonly degenerated degree synchronization signals, although characteristics were significantly different. contrast, chaos-chaos intermittency strength noise-induced attractor merging bifurcation practical systems, influence unavoidable; highlighted importance countermeasures utilization bifurcation.