Energy function and energy evolution on neuronal population
On the base of principle of the energy coding, an energy function of variety of electric potential of neural population in cerebral cortex is proposed The energy function is used to describe the energy evolution of neuronal population with time, and the coupled relationship between neurons at sub-threshold and at supra-threshold status. We obtain the Hamiltonian motion equation with the membrane potential under condition of Gaussian white noise according to neuro-electrophysiological data. The results of research show mat the mean of the membrane potential obtained in this paper is just exact solution of motion equation of membrane potential in previous published paper. It is shown that the Hamiltonian energy function given in the paper is effective and correct. Particularly, by using the principle of energy coding we obtained an interesting result which is in subsets of neurons firing action potentials at supra-threshold and others simultaneously perform activities at sub-threshold level in neural ensembles. As yet, this kind of coupling in all models of biological neural network has not been presented.
Ru-bin Wang Zhi-kang Zhang En-hua Shen
Institute for Brain Information Processing and Cognitive Neurodynamics, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
国际会议
The 5th International Conference on Nonlinear Mechanics(第五届国际非线性力学会议)
上海
英文
1349-1354
2007-06-11（万方平台首次上网日期，不代表论文的发表时间）