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Effects of spike-time-dependent plasticity on stochastic resonance in excitatory-inhibitory neuronal networks

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The phenomenon in which the response of a neuronal network to a weak signal is significantly enhanced in moderate noise is known as stochastic resonance (SR). Most of the previous studies on the transmission of signals by networks have been based on static synaptic connections, whereas dynamic synaptic connections modified by spike-time-dependent plasticity (STDP) are the basis of learning and memory in the nervous system. In this paper, we explore the phenomenon of SR in a neuronal network consisting of different ratios of excitatory vertebral neurons and inhibitory interneurons. The equivalent circuit method was employed to assess the average energy efficiency of the network. The differences in signal response before and after the introduction of STDP were compared for purely excitatory, purely inhibitory and excitatory-inhibitory networks, respectively. It was found that excitatory STDP promotes the network's response to weak signals, while inhibitory STDP has the opposite effect. The introduction of the inhibitory STDP makes the inhibitory network insensitive to the modulation of the coupling strength and increases its robustness. Furthermore, in the excitatory-inhibitory network, we found that STDP had little effect on the overall signalling of the network, and that the network's response to weak signals was more stable. Our findings contribute to the understanding of the importance of excitatory-inhibitory balance in ensuring accurate transmission and processing of information and provide new insights into the role of STDP in neuronal information processing.

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Acknowledgements

This work is supported by National Natural Science Foundation of China under No. 12175080, also financially supported by self-determined research funds of CCNU from the colleges’ basic research and operation of MOE under No. CCNU22JC009.

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Authors and Affiliations

  1. Department of Physics, Central China Normal University, Wuhan, 430079, China

    Xueqin Wang, Dong Yu, Tianyu Li, Xuening Li, Weifang Huang, Xuan Zhan & Ya Jia

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  1. Xueqin Wang
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  2. Dong Yu
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Contributions

XW, DY and TL contributed to conceptualization, software, writing-original draft preparation; XL, WH and XZ contributed to methodology and visualization; and YJ supervised the study. All authors read and approved the final manuscript.

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Correspondence to Ya Jia.

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Wang, X., Yu, D., Li, T. et al. Effects of spike-time-dependent plasticity on stochastic resonance in excitatory-inhibitory neuronal networks. Nonlinear Dyn (2024). https://doi.org/10.1007/s11071-024-09682-w

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