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Noise-induced collective dynamics in the small-world network of photosensitive neurons

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Abstract

Photosensitive neurons can capture and convert external optical signals, and then realize the encoding signal. It is confirmed that a variety of firing modes could be induced under optical stimuli. As a result, it is interesting to explore the mode transitions of collective dynamics in the photosensitive neuron network under external stimuli. In this work, the collective dynamics of photosensitive neurons in a small-world network with non-synaptic coupling will be discussed with spatial diversity of noise and uniform noise applied on, respectively. The results prove that a variety of different collective electrical activities could be induced under different conditions. Under spatial diversity of noise applied on, a chimera state could be observed in the evolution, and steady cluster synchronization could be detected in the end; even the nodes in each cluster depend on the degree of each node. Under uniform noise applied on, the complete synchronization window could be observed alternately in the transient process, and steady complete synchronization could be detected finally. The potential mechanism is that continuous energy is pumped in the phototubes, and energy exchange and balance between neurons to form the resonance synchronization in the network with different noise applied on. Furthermore, it is confirmed that the evolution of collective dynamical behaviors in the network depends on the external stimuli on each node. Moreover, the bifurcation analysis for the single neuron model is calculated, and the results confirm that the electrical activities of single neuron are sensitive to different kinds of noise.

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Funding

This work is supported by the National Natural Science Foundation of China under Grant No.11805164 and the “Special Scientific Research Program of Shaanxi Provincial Education Department’’ No. 21JK1016”.

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Authors and Affiliations

  1. College of Energy Engineering, Yulin University, Yulin, 719000, People’s Republic of China

    Fan Li, Xiaola Li & Liqing Ren

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  1. Fan Li
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  2. Xiaola Li
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Contributions

Fan Li: conceptualization, methodology, calculation, writing—original draft preparation. Xiaola Li: calculation, software. Liqing Ren: draft preparation, software, validation.

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Correspondence to Fan Li.

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Li, F., Li, X. & Ren, L. Noise-induced collective dynamics in the small-world network of photosensitive neurons. J Biol Phys 48, 321–338 (2022). https://doi.org/10.1007/s10867-022-09610-2

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  • DOI: https://doi.org/10.1007/s10867-022-09610-2

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