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Functional connectivity networks from theta band of 16-channel local field potentials on prefrontal cortex of rat during working memory task are analyzed. The analysis of functional connectivity networks carried out though the method of multivariate conditional Granger causality method. The analysis of Granger causality connectivity networks are carried out during the time interval [0s, 2s], time...
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...
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...
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...
Functional connectivity networks on prefrontal cortex of rat during working memory task are analyzed. Neural ensemble rate coding is applied to find the time interval of working memory event occurrence. the analysis of functional connectivity is carried out though the method of cross-covariance. Functional connectivity networks during the occurrence of working memory event and the period of resting...
The aim of this paper is to investigate a new method to code neural ensemble activity via sparse theory, and the validity of sparse coding is shown by simulation study on coding a stimulus via neural ensemble. Experimental data used in this study is a simulation spatiotemporal spikes of 120 neurons in hippocampus CA3 computed from small-world neural network model with two types of stimuli: a pulse...
The aim of this study is to investigate a new method of coding neural ensemble activity via information theory and show the validity of this method in coding different stimuli (a pulse current and Gaussian white noise). Experimental data used in this paper is a simulation spatio-temporal spike of 120 neurons in hippocampus CA3 computed from small-world neural network model. We quantify neural ensemble...
The Hindmarsh-Rose (HR) model could describe different discharge property of an excitatory or inhibitory neuron by changing the parameter gamma. 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 temporal lobe cortex based on small-world...
Based on a nonlinear brainstem-thalamus-cerebral cortex dynamic model, a control signal module is added to the cerebral cortex neuclei. Normal, abnormal and controlled state of brainstem function can be successfully simulated with the model on Simulink platform of Matlab. A periodic signal (square pulse) or nonperiodic signal (gauss noise) is imposed on the model. Three quantitative indexes (amplitude,...
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