Controlling network-coupled neural dynamics with nonlinear network control theory
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909200135749632 |
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| author | Xia, Zhongye Li, Weibin Liang, Zhichao Lou, Kexin Liu, Quanying |
| author_facet | Xia, Zhongye Li, Weibin Liang, Zhichao Lou, Kexin Liu, Quanying |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_06971 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Controlling network-coupled neural dynamics with nonlinear network control theory Xia, Zhongye Li, Weibin Liang, Zhichao Lou, Kexin Liu, Quanying Systems and Control 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. |
| title | Controlling network-coupled neural dynamics with nonlinear network control theory |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2405.06971 |