项目名称: 关于脑信息处理的能量原理与神经动力学分析
项目编号: No.10872068
项目类型: 面上项目
立项/批准年度: 2009
项目学科: 金属学与金属工艺
项目作者: 王如彬
作者单位: 华东理工大学
项目金额: 37万元
中文摘要: 中枢神经系统的信号传递与神经信息处理需要消耗大量的能量,而能量代谢的消耗主要包括动作电位的产生与传递,神经突触的活动以及维持神经元静息膜电位。采用能量有效性方法来处理神经信息,是当前神经动力学领域内的重点研究课题。本计划根据分析动力学和非线性动力学原理并根据神经电生理实验结果研究:(1) 用能量方法构造若干个神经网络模型,然后给出该神经网络在自发条件下的能量编码以及在刺激作用下的能量编码;(2)在神经振子群总能量随时间演化的定量模型的研究基础上(该项研究已发表在IEEE Transcations Neural Networks.2008),建立皮层能量随空间变化的定量模型,并研究能量编码的空间演化;(3)结合已发表的能量演化模型,探讨能量演化的概率分布,这是由于认知过程需要不同脑区的互相协作;(4)认知过程中的神经细胞活动的宏观表达与离子通道的微观动力学机制的统一模型研究。
中文关键词: 神经动力学;神经信息处理;能量原理;能量编码
英文摘要: Signal transmission and neural information processing of the central nervous system needs a great deal of energy expenditure, which mainly includes production and transmission of action potential, activities of neural synapse and maintenance of resting membrane potential. It is a key research subject on neural information processing in the way of energy efficiency in neurodynamics. On the basis of dynamics, nonlinear dynamics and the experimental results of neuro-electrophysiology, this project aims to do the following research: 1) Build several neural network models through the energy approach and deduce energy coding under both conditions of spontaneous and stimulation; 2) Build and study the quantitative model of cortex energy with spatial evolution according to the study of quantitative model of population of neural oscillators energy with time evolution (published in IEEE Transcations Neural Networks.2008) 3) Discuss the probability distribution of energy evolution in terms of the published energy evolution model, regarding of the collaboration of different brain regions in the process of cognition. 4) Study the unified model of macroscopic expression of the neurons and the micro-dynamical mechanism of ion channel.
英文关键词: Neurodynamics;neural information processing;energy principle; energy coding