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arXiv · 2405.06971

Controlling network-coupled neural dynamics with nonlinear network control theory

Zhongye Xia·Weibin Li·Zhichao Liang·Kexin Lou·Quanying Liu
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Abstract

This paper addresses the problem of controlling the temporal dynamics of complex nonlinear network-coupled dynamical systems, specifically in terms of neurodynamics. Based on the Lyapunov direct method, we derive a control strategy with theoretical guarantees of controllability. To verify the performance of the derived control strategy, we perform numerical experiments on two nonlinear network-coupled dynamical systems that emulate phase synchronization and neural population dynamics. The results demonstrate the feasibility and effectiveness of our control strategy.

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Zhongye Xia, Weibin Li, Zhichao Liang, Kexin Lou, Quanying Liu. 2024-05-11. Controlling network-coupled neural dynamics with nonlinear network control theory. https://arxiv.org/abs/2405.06971

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