Neuronal Ensemble Coding of Spike Trains in the Hippocampus CA3 via Small-world Network

The Hindmarsh-Rose (HR) model could describe different discharge property of an excitatory or inhibitory neuron by changing the parameter r. In this paper, HR model is used to be the dynamical equations of the spiking model neurons, and different neurons in one neuronal population are connected with WS small-world network. A neurons spiking model in the hippocampus CA3 based on small-world network is established on the Matlab platform. Spike trains of the neurons spiking model are simulated when no stimulus and a pulse current acted on the model. Then rate coding and synchrony coding are used to analyze the simulated spiking trains. Experiment results indicate when no stimulus acts on the neurons spiking model, the spike firing of hippocampus CA3 is sparse. When a stimulus acts on the neurons spiking model, the mean population firing rate increased obviously. The increasing of neurons firing rate could present the ensemble activities, which highly correlate with memory.