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

Abstract

<span style="font-size: 10pt; font-family: "Times New Roman"; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA; mso-bidi-font-size: 9.0pt;" lang="EN-US">The Hindmarsh-Rose (HR) model could describe different discharge property of an excitatory or inhibitory neuron by changing the parameter </span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">r</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">.</span><span style="font-size: 10pt; font-family: "Times New Roman"; mso-fareast-font-family: 宋体; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US"> 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 analysis the simulated spiking trains. Experiment results indicate when no stimulus acts on the neurons spike model, the spike firing of hippocampus CA3 is sparse. When a stimulus acts on the neurons spike model, the mean population firing rate increased obviously. The increasing of neurons firing rate could present the ensemble activities, which highly correlate with memory.</span&gt

Functional Networks Analysis from Multi Neuronal Spike Trains on Prefrontal Cortex of Rat during Working Memory Task and Neuronal Network Simulation

“…A variety of neural network models have been proposed to simulate the spike potentials of neural population. For instance, Xiao ZG and Tian X(2010) [25] built small-world neural network model of hippocampal CA3 based on the characteristics of the hippocampal CA3 neurons, simulated the response spike trains of neuronal population under three types of stimulus, and studied the respective neural ensemble encoding of three types of stimulus. Meeter M(2003) [26] built a neural nucleus model of hippocampus, which composed by CA1, CA3, dentate gyrus, and entorhinal cortex nucleus; The model was based on the neural information connection relation of hippocampus.…”