Dynamic Characteristics of Fractional-order Photosensitive Neuron and Its Coupling Synchronization

YANG Ningning; MENG Shiyue; WU Chaojun

doi:10.11999/JEIT230283

Volume 46 Issue 3

Mar. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(3): 1138-1146

YANG Ningning, MENG Shiyue, WU Chaojun. Dynamic Characteristics of Fractional-order Photosensitive Neuron and Its Coupling Synchronization[J]. Journal of Electronics & Information Technology, 2024, 46(3): 1138-1146. doi: 10.11999/JEIT230283

Citation:

YANG Ningning, MENG Shiyue, WU Chaojun. Dynamic Characteristics of Fractional-order Photosensitive Neuron and Its Coupling Synchronization[J]. Journal of Electronics & Information Technology, 2024, 46(3): 1138-1146. doi: 10.11999/JEIT230283

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Dynamic Characteristics of Fractional-order Photosensitive Neuron and Its Coupling Synchronization

doi: 10.11999/JEIT230283

1.
School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
2.
School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China

Funds: The National Natural Science Foundation of China (51507134), The Natural Science Basic Research Program of Shaanxi Province (2021JM-449, 2018JM5068)

Received Date: 2023-04-17
Accepted Date: 2023-08-15
Rev Recd Date: 2023-08-02

Available Online: 2023-08-22

Publish Date: 2024-03-27

Abstract

Abstract

Neurons are the basic unit of the nervous system, and the accuracy of neuron models affects the analysis and understanding of their essential properties. In this paper, a fractional-order photosensitive FitzHugh-Nagumo (FHN) neuron circuit constructed by fractional-order capacitor and inductor is investigated. The dynamics of the fractional-order photosensitive neuron model are analyzed using bifurcation diagrams, phase portraits, and time series diagrams. It was found that the activity of the fractional-order photosensitive neuron increased as the fractional-order decreased. When different system parameters are selected, the neuron system transitions between periodic and chaotic discharge states. The system can induce different discharge modes, such as periodic discharge states, chaotic discharge states, and spike discharge states. In addition, two fractional-order photosensitive neurons were connected using electrical synaptic coupling. Phase synchronization and complete synchronization between the fractional-order photosensitive neuron systems can be achieved by adjusting the coupling strength. Finally, the modulation effect of an external light signal on neuronal excitability was verified by dSPACE.
- Neurons,
- Photosensitive neuron,
- Fractional calculus,
- Synchronization

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References(19)

References

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