Modeling Brain Chaos Using Electrical Circuit Approaches: Unraveling Neural Dynamics

Abstract

This paper explores the simulation of brain chaos dynamics through a combined use of the Chua circuit and diode tunnel mechanisms, aiming to examine chaotic behavior in brain networks. By leveraging the inherent chaotic properties of the Chua circuit, the FitzHugh-Nagumo function, and the nonlinear characteristics of diode tunneling, our model replicates the intricate synaptic interactions observed in the brain. We subject the model to various stimuli and perturbations to analyze the emergence and evolution of chaotic patterns, providing insights into the underlying mechanisms of cerebral chaos. Numerical simulations and experimental validation demonstrate the effectiveness of our approach in replicating key features of brain chaos, with potential implications for understanding neurological disorders and cognitive processes. This research contributes to the broader effort to use computational models to explore the complex dynamics of the brain and their implications for neuroscience.