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Transition of spatiotemporal patterns in neuron–astrocyte networks

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  • Ouyang, Zhicheng
  • Yu, Yangyang
  • Liu, Zhilong
  • Feng, PeiHua

Abstract

Recent experiment suggested that astrocytes have a non-negligible effect on regulating neuronal networks and demonstrated how astrocytes influence neuronal firing behavior. In this work, a model for a 2-D neuron–astrocyte network is developed to explore the role of astrocytes in pattern transition of neural network. Dynamical analysis of neuron–astrocyte pair reveals that astrocytic feedback current causes left-shift of spiking interval of the neuron. Furthermore, the spatiotemporal patterns transition of the network are researched under different astrocyte feedback intensities and synaptic conductances. The result shows that the introduction of astrocyte network could not only enrich the diversity of spatiotemporal pattern by inducing pattern behaviors including migration, competition, and combination, but also enhance the firing among neurons under weak synappse connections. The strengthening of astrocyte feedback intensity could raise the firing frequency of neurons, cause changes in the spatial pattern, and delay the transition concerning synaptic conductance. A method to instructively identify critical changes of spatiotemporal patterns in time is proposed. The result shows that astrocyte feedback regulates the neuronal network’s firing and fundamentally influences the pattern transition and evolution.

Suggested Citation

  • Ouyang, Zhicheng & Yu, Yangyang & Liu, Zhilong & Feng, PeiHua, 2023. "Transition of spatiotemporal patterns in neuron–astrocyte networks," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:chsofr:v:169:y:2023:i:c:s0960077923001236
    DOI: 10.1016/j.chaos.2023.113222
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    References listed on IDEAS

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    1. Mengmeng Du & Jiajia Li & Liang Chen & Yuguo Yu & Ying Wu, 2018. "Astrocytic Kir4.1 channels and gap junctions account for spontaneous epileptic seizure," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-19, March.
    2. Feng, Peihua & Fan, Qiang & Yuan, Zhixuan & Wu, Ying, 2021. "Transition from regular to labyrinth pattern in a neuronal network with fast inhibitory synapses," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
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    Cited by:

    1. Erkan, Erdem, 2023. "Signal encoding performance of astrocyte-dressed Morris Lecar neurons," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    2. Li, Tianyu & Wu, Yong & Yang, Lijian & Fu, Ziying & Jia, Ya, 2023. "Neuronal morphology and network properties modulate signal propagation in multi-layer feedforward network," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).

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