A hippocampus CA3 small-world network with two types of stimuli

A neuronal spiking small-world network model of the hippocampus CA3 area is studied. The Izhikevich neuron model is adopted to be a single neuronal vertex in the network model. 120 neurons are connected with small-world network algorithms. The number ratio of excitatory neurons to inhibitory neurons is nearly 5 to 1. The temporal-spatial sequences of neurons are simulated under the stimuli of Gaussian white noise input and sine input. The simulated spike trains are analyzed by the neuronal ensemble rate coding algorithm. When no stimulus applied to the neuronal network model, no ensemble activity is presented. When the two types of stimuli applied to the neuronal network model, the mean firing rates of multi neurons are evidently increased. The increasing of the mean firing rate may indicate the neuronal ensemble activities. Some neurons show ensemble activities during the stimuli.