Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13386
Title: Neural coding in networks of multi-populations of neural oscillators
Authors: Wang, R
Zhang, Z
Tse, CK 
Qu, J
Cao, J
Keywords: Biological neural networks
Inter-neuron
Motor neuron
Perceptive neuron
Phase coding
Population of neural oscillators
Rhythm coding
Issue Date: 2012
Source: Mathematics and computers in simulation, 2012, v. 86, p. 52-66 How to cite?
Journal: Mathematics and Computers in Simulation 
Abstract: The paper studies the dynamical model of motor cognition of neural networks through the theory of stochastic phase resetting dynamics, presents the interaction, phase coding, and the evolution of the time-varying averaged number density in terms of populations of perceptive neurons, inter-neurons, and motor neurons subject to coupling, and probes into the dynamical reaction of neural networks under the condition of spontaneous movement and stimulation, respectively. With numerical simulations, we prove (1) Walter J. Freeman's conjecture that the response of cortex dynamics cannot code external stimulation information; (2) the possession of rhythm coding in the neural coding of serial neural networks; (3) the importance of neural inhibition in the regulation of the central nervous system.
URI: http://hdl.handle.net/10397/13386
ISSN: 0378-4754
DOI: 10.1016/j.matcom.2010.10.029
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Last Week
0
Last month
0
Citations as of Aug 11, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Aug 13, 2017

Page view(s)

40
Last Week
4
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.