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A Neural Model on Cognitive Process

  • Rubin Wang
  • Jing Yu
  • Zhi-kang Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)

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.

Keywords

Neural Model Neural Population Neural Oscillator Neuronal Oscillator Average Number Density 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rubin Wang
    • 1
    • 2
  • Jing Yu
    • 2
  • Zhi-kang Zhang
    • 1
  1. 1.Institute for Brain Information Processing and Cognitive Neurodynamics, School of Information Science and EngineeringEast China University of Science and TechnologyShanghaiP.R. China
  2. 2.School of ScienceDonghua UniversityShanghaiP.R. China

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