Comparisons of chemical synapses and gap junctions in the stochastic dynamics of coupled neurons

Authors:
Jiang Wang;Xiumin Li;Dong Feng
Affiliations:
Tianjin University, School of Electrical Engineering and Automation, Tianjin, China;Tianjin University, School of Electrical Engineering and Automation, Tianjin, China;Tianjin University, School of Electrical Engineering and Automation, Tianjin, China
Venue:
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Year:
2007

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Abstract

We study the stochastic dynamics of three FitzHugh-Nagumo neurons with chemical coupling and electrical coupling (gap junction) respectively. For both of the coupling cases, optimal coherence resonance and weak signal propagation can be achieved with intermediate noise intensity. Through comparisons and analysis, we can make conclusions that chemical synaptic coupling is more efficient than the well known linear electrical coupling for both coherence resonance and weak signal propagation. We also find that neurons with parameters locate near the bifurcation point (canard regime) can exhibit the best response of coherence resonance and weak signal propagation.