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Synchronization and oscillation behaviors of excitatory and inhibitory populations with spike-timing-dependent plasticity

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Abstract

The effect of synaptic plasticity on the synchronization mechanism of the cerebral cortex has been a hot research topic over the past two decades. There are a great deal of literatures on excitatory pyramidal neurons, but the mechanism of interaction between the inhibitory interneurons is still under exploration. In this study, we consider a complex network consisting of excitatory (E) pyramidal neurons and inhibitory (I) interneurons interacting with chemical synapses through spike-timing-dependent plasticity (STDP). To study the effects of eSTDP and iSTDP on synchronization and oscillation behaviors emerged in an excitatory–inhibitory balanced network, we analyzed three different cases, a small-world network of purely excitatory neurons with eSTDP, a small-world network of purely inhibitory neurons with iSTDP and a small-world network with excitatory–inhibitory balanced neurons. By varying the number of inhibitory interneurons, and that of connected edges in a small-world network, and the coupling strength, these networks exhibit different synchronization and oscillation behaviors. We found that the eSTDP facilitates synchronization effectively, while iSTDP has no significant impact on it. In addition, eSTDP and iSTDP restrict the balance of the excitatory–inhibitory balanced neuronal network together and play a fundamental role in maintaining network stability and synchronization. They also can be used to guide the treatment and further research of neurodegenerative diseases.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 11772069), the National Key Research and Development Program of China (No. 2018YFB1003804) and the National Key Research and Development Program (2019YFA0 709503).

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Authors and Affiliations

  1. Brain and Autonomous Intelligent Robots Lab, School of Systems Science, Beijing Normal University, Beijing, People’s Republic of China

    Yuan Wang & Bailu Si

  2. School of Science, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China

    Xia Shi

  3. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China

    Bo Cheng & Junliang Chen

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  1. Yuan Wang
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Correspondence to Xia Shi.

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Wang, Y., Shi, X., Si, B. et al. Synchronization and oscillation behaviors of excitatory and inhibitory populations with spike-timing-dependent plasticity. Cogn Neurodyn 17, 715–727 (2023). https://doi.org/10.1007/s11571-022-09840-z

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