An evolution model on the set of the populations of neurons

Author

Wang, Rubin

Author_Institution

Coll. of Sci., Donghua Univ., Shanghai, China

Volume

3

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1324

Abstract

A model of the phase resetting dynamics of concourse composed by m neuronal populations is proposed in this paper, and the concept of the global average number density is proposed. According to the concept, a quantitative model of evolution alone with time for the global average number density is presented. Due to the model describing interaction of M neuronal populations and the evolution alone with time under stimulation and noise in aspects of the phase and the amplitude, the dynamic mechanism of the phase resetting described in the paper is more logical, and in aspect of application, the contents of the paper are more close to actual action of the behavior of brain.

Keywords

brain models; evolution (biological); neurophysiology; nonlinear dynamical systems; stochastic processes; brain behavior; concourse; evolution model; global average number density; nonlinear stochastic models; phase resetting dynamics; populations of neurons; quantitative model; Background noise; Educational institutions; Equations; Information processing; Mutual coupling; Neurons; Neuroscience; Noise level; Oscillators; Phase noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on

Print_ISBN

0-7803-8163-7

Type

conf

DOI

10.1109/ICECS.2003.1301759

Filename

1301759