Stabilization of Neural Activity in Brain Circuit Model of Cerebral Cortex-Basal Ganglia by Chaotic Resonance Control

Fluctuations in nonlinear systems can enhance the synchronization with weak input signals. Chaotic resonance (CR) is one of such phenomena, caused by a system-intrinsic chaotic fluctuation. CR is observed in systems with chaos-chaos intermittency (CCI), where a chaotic orbit appears between separate regions. Based on the characteristics of CR, we previously proposed a novel method for controlling the chaotic state to an appropriate CR state by adopting a feedback signal from the system itself. This method is called the reduced-region-of-orbit (RRO) feedback method. The RRO feedback method was applied to discrete and continuous time chaotic systems, and its versatility was confirmed. Moreover, we have applied this method to frontal cortex neural system model, and the effectiveness for controlling the system behavior by inducing CR was confirmed. In this study, we examined the responsiveness of CCI to a weak periodic signal by extending the model to the brain circuit level composed of frontal cortex, basal ganglia and thalamus. As a result, we confirmed the effectiveness of the RRO feedback method for stabilizing the neural activity observed in the brain circuit model of cerebral cortex-basal ganglia.