最小神经元模型放电起始动态控制与分析  

Action potential initial dynamical control and analysis of a minimum neuron model

作　　者：金淇涛[1] 王江[1] 魏熙乐[1] 邓斌[1] 车艳秋[1] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072

出　　处：《物理学报》2011年第9期774-782,共9页Acta Physica Sinica

基　　金：国家自然科学基金重点项目(批准号:50537030);国家自然科学基金青年科学基金(批准号:50707020;50907044;60901035);国家自然科学基金(批准号:61072012)资助的课题~~

摘　　要：本文采用最小神经元模型,从生理学角度设计wash-out滤波器,实现了不同放电起始动态机理之间的转换,并证明wash-out滤波器控制通过影响阈下电流的竞争结果改变了神经元的放电起始动态机理.Neuron is a basic unit of information transmission in the nervous system . Neuron encodes the information input from the dendrites by generating action potential sequences of different firing patterns. The different firing patterns result from different action potential initial dynamic mechanisms for neurons to generate spikes. The result of competition between neuron ion currents with different dynamic features in the sub threshold potential determines the action potential initial dynamic mechanism. In this paper, we adopt a minimum neuron model to design the wash-out filter from a physiological view for achieving the transition between different action potential initial dynamic mechanisms and for verifying that the wash-out filter control changes the action potential initial dynamic mechanism of neuron by affecting the result of competition between currents with different dynamic features in the sub-threshold potential.

关 键 词：放电起始动态机理 阈下电流竞争 最小神经元模型 wash-out滤波器 

分 类 号：TN713[电子电信—电路与系统]