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Investigating different synaptic connections of the Chay neuron model

S. Mohadeseh Shadizadeh, Fahimeh Nazarimehr, Sajad Jafari and Karthikeyan Rajagopal

Physica A: Statistical Mechanics and its Applications, 2022, vol. 607, issue C

Abstract: The study of synaptic connections offers valuable insights into neuron interactions. It can demonstrate the neurons’ collective behaviors, like synchronization. In this paper, the dynamics of two coupled neurons in three different synaptic connections are studied: electrical, chemical, and electrochemical. The Chay neuron model is explored, and its dynamics are analyzed. The Chay model shows various dynamics by changing the bifurcation parameters. The coupling dynamics for various synaptic connections are investigated with the help of bifurcation diagrams, time series, and state space diagrams. The results of the variation of the maximal conductance gI of the mixed Na+−Ca2+ channels and the maximal conductance gK,V of K+ channels reveal various firing dynamics, including periodic and asynchronous bursting, chaotic bursting, and chaotic spiking. The simulations show complete synchronization for the case of electrical and electrochemical couplings. In other words, the two coupled Chay neurons can show different dynamics, which are synchronous or asynchronous, by varying parameters and coupling coefficients.

Keywords: Synaptic connection; Chay neuron model; Electrical coupling; Chemical coupling; Electrochemical coupling; Bifurcation diagram (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:607:y:2022:i:c:s0378437122008007

DOI: 10.1016/j.physa.2022.128242

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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