An enhanced FitzHugh–Nagumo neuron circuit, microcontroller-based hardware implementation: Light illumination and magnetic field effects on information patterns
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DOI: 10.1016/j.chaos.2022.113014
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Cited by:
- Yao, Zhao & Sun, Kehui & Wang, Huihai, 2024. "Collective behaviors of fractional-order FithzHugh–Nagumo network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
- Li, Yongxin & Li, Chunbiao & Li, Yaning & Moroz, Irene & Yang, Yong, 2024. "A joint image encryption based on a memristive Rulkov neuron with controllable multistability and compressive sensing," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
- Huang, Guodong & Zhou, Shu & Zhu, Rui & Wang, Yunhai & Chai, Yuan, 2024. "Stability and complexity evaluation of attractors in a controllable piezoelectric Fitzhugh-Nagumo circuit," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
- Xu, Quan & Wang, Kai & Chen, Mo & Parastesh, Fatemeh & Wang, Ning, 2024. "Bursting and spiking activities in a Wilson neuron circuit with memristive sodium and potassium ion channels," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
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Keywords
Memristive FitzHugh–Nagumo neuron; Effect of light illumination and magnetic field; Hamilton energy; Network of neurons; Information patterns;All these keywords.
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