Controlling network-coupled neural dynamics with nonlinear network control theory
Systems and Control
2024-05-14 v1 Systems and Control
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.
Cite
@article{arxiv.2405.06971,
title = {Controlling network-coupled neural dynamics with nonlinear network control theory},
author = {Zhongye Xia and Weibin Li and Zhichao Liang and Kexin Lou and Quanying Liu},
journal= {arXiv preprint arXiv:2405.06971},
year = {2024}
}