Controlling network-coupled neural dynamics with nonlinear network control theory
<|reference_start|>Controlling network-coupled neural dynamics with nonlinear network control theory: 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.<|reference_end|>
@article{xia2024controlling,
    title={Controlling network-coupled neural dynamics with nonlinear network
  control theory},
    author={Zhongye Xia, Weibin Li, Zhichao Liang, Kexin Lou, Quanying Liu},
    journal={arXiv preprint arXiv:2405.06971},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.06971},
    primaryClass={eess.SY cs.SY}
}