Title
A neural model on cognitive process
Abstract
In this paper we studied a new dynamic evolution model on phase encoding in population of neuronal oscillators under condition of different phase, and investigated neural information processing in cerebral cortex and dynamic evolution under action of different stimulation signal. It is obtained that evolution of the averaging number density along with time in space of three dimensions is described in different cluster of neuronal oscillators firing action potential at different phase space by means of method of numerical analysis. The results of numerical analysis show that the dynamic model proposed in this paper can be used to describe mechanism of neurodynamics on attention and memory.
Year
DOI
Venue
2006
10.1007/11759966_8
ISNN (1)
Keywords
Field
DocType
dynamic model,different phase,numerical analysis,different stimulation signal,action potential,neuronal oscillator,cognitive process,dynamic evolution,neural model,new dynamic evolution model,different phase space,different cluster,information processing,oscillations,phase space,three dimensions
Population,Oscillation,Information processing,Biological system,Neurophysiology,Pattern recognition,Computer science,Phase space,Artificial intelligence,Numerical analysis,Artificial neural network,Encoding (memory)
Conference
Volume
ISSN
ISBN
3971
0302-9743
3-540-34439-X
Citations 
PageRank 
References 
8
0.88
4
Authors
3
Name
Order
Citations
PageRank
Rubin Wang114125.54
Jing Yu280.88
Zhikang Zhang36611.91