Spike trains synchrony with different coupling strengths in a hippocampus CA3 small-world network model

Abstract

A neuronal spiking small-world network model of hippocampus CA3 area is studied. The small-world network contains 120 neurons. The ratio of excitatory neurons to the inhibitory ones is 5 to 1. The Izhikevich neuron model is adopted to be a single neuronal vertex in the network model. The coupling strengths of networks are set from 1.0 to 20.0. The simulation results are studied by spike trains inter-spike interval distances for measuring synchrony. When the network coupling strength enhanced, the networks firing patterns show asynchronous state, transition state, and synchronized-oscillation state in sequence. The averaged bivariate inter-spike interval distances of multi spike trains in networks are calculated as synchrony indexes. The synchronous indexes are reduced along with the coupling strengths are amplified. It is indicated that the synchronizations are enhanced along with amplified coupling strengths.