Title :
An evolution model on the set of the populations of neurons
Author_Institution :
Coll. of Sci., Donghua Univ., Shanghai, China
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;
Conference_Titel :
Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on
Print_ISBN :
0-7803-8163-7
DOI :
10.1109/ICECS.2003.1301759
