Deciphering the complex behavior of piezoelectric neuron systems through bifurcation analysis with the time-domain minimum residual method-Reference-Cited by-同舟云学术

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Deciphering the complex behavior of piezoelectric neuron systems through bifurcation analysis with the time-domain minimum residual method

Published:2024-07-04 Issue:19 Volume:112 Page:17417-17431
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Li Xue-jun^ORCID,Chen Yan-mao,Liu Ji-ke,Liu Guang^ORCID

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

the State Key Laboratory of Mechanical System and Vibration

Shenzhen Science and Technology Innovation Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11071-024-09924-x.pdf

Reference32 articles.

1. Gu, H.G., Pan, B.B.: A four-dimensional neuronal model to describe the complex nonlinear dynamics observed in the firing patterns of a sciatic nerve chronic constriction injury model. Nonlinear Dynamics 81(4), 2107–2126 (2015). https://doi.org/10.1007/s11071-015-2129-7

2. Lu, Q.S., Gu, H.G., Yang, Z.Q., Shi, X., Duan, L.X., Zheng, Y.H.: Dynamics of firing patterns, synchronization and resonances in neuronal electrical activities: experiments and analysis. Acta Mechanica Sinica 24(6), 593–628 (2008). https://doi.org/10.1007/s10409-008-0204-8

3. Dayan, P., Abbott, L.F.: Theoretical neuroscience: computational and mathematical modeling of neural systems. The MIT press, Cambridge, MA (2005)

4. Wu, F.Q., Ma, J., Zhang, G.: A new neuron model under electromagnetic field. Applied Mathematics and Computation 347, 590–599 (2019). https://doi.org/10.1016/j.amc.2018.10.087

5. Hodgkin, A.L., Huxley, A.F.: A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of Physiology 117(4), 500 (1952). https://doi.org/10.1113/jphysiol.1952.sp004764

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