Spike Trains Synchrony with Changed Neuronal Networks Parameters in a Hippocampus CA3 Small-World Network Model

To describe neuronal population spiking patterns, a neuronal spiking small-world network model of the hippocampus CA3 area is studied. Each network contains 100 excitatory neurons and 20 inhibitory neurons. The excitatory neurons and inhibitory neurons are set by parameters shifting of Izhikevich single neuron model. Multi spike trains data are obtained with different coupling strengths and reconnection probabilities. Networks firing patterns show asynchronous state, transition state, and synchronized-oscillation state. The bivariate ISI-distance and the averaged bivariate ISI-distance are utilized to measure synchrony of multi spike trains. The averaged bivariate ISI-distances of multi spike trains are calculated as synchrony indexes. Influences of changed neuronal networks parameters on synchrony behaviors are obtained.