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Diversity of neuronal activity is provided by hybrid synapses

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Abstract

The coexistence of electrical and chemical synaptic communication among excitatory cells has been evidenced by neuroscientists. Nevertheless, theoretical understanding of hybrid synaptic connections in diverse dynamical states of neural networks for self-organization and robustness, still has not been fully studied. Here, we present a model of neural network that includes chemical excitatory coupling in a way of small-world topology and electrical synaptic coupling among adjacent excitatory cells for excitatory population. Firstly, we use this model to investigate the effect of electrical synaptic coupling among excitatory cells on global network behavior with the goal of theoretically understanding mechanisms of generating rich firing patterns. Secondly, we further study the emergence of various firing ripple events by considering the variation of chemical synaptic inhibition and other factors, such as network densities. We found that the excitatory population has a tendency to synchronization as the weights of electrical synaptic coupling among excitatory cells are increased. Moreover, the existence of these electrical synaptic connections can cause various firing patterns of interest by slightly changing the chemical synaptic weights. Our results pave a way in the study of the dynamical mechanisms and computational significance of the contribution of mixed synapse in the neural functions.

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Data Availibility Statement

The datasets analysed during the current study are available in the github repository at https://github.com/keshengxuu/DiversiryFiringPatterns.

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Acknowledgements

We thank the funding No.4111190017 from Jiangsu University(JSU), China, and Fondecyt Project Nos.3170342 (K.X.), 21191760 (J.P.M.) and 1181076 (P.O.) from ANID, Chile. P.O. is partially funded by the Advanced Center for Electrical and Electronic Engineering (ANID FB0008, Chile). The Centro Interdisciplinario de Neurociencia de Valparaíso (CINV) is a Millennium Institute supported by the ANID grant ICN09-022.

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  1. School of physics and Electronic Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, People’s Republic of China

    Kesheng Xu

  2. Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, 2360102, Valparaíso, Chile

    Kesheng Xu, Jean Paul Maidana & Patricio Orio

  3. Facultad de Ciencias, Instituto de Neurociencia, Universidad de Valparaíso, 2360102, Valparaíso, Chile

    Patricio Orio

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Xu, K., Maidana, J.P. & Orio, P. Diversity of neuronal activity is provided by hybrid synapses. Nonlinear Dyn 105, 2693–2710 (2021). https://doi.org/10.1007/s11071-021-06704-9

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