NDLI: Analysis of Neurodynamics on Phase Neural Coding in the Presence of Inhibitory Neurons

Content Provider	IEEE Xplore Digital Library
Author	Yan Liu Rubin Wang Zhikang Zhang Xianfa Jiao
Copyright Year	2009
Abstract	The paper studies the phase coding in the neural networks composed of neural oscillator populations through the theory of the stochastic phase dynamics under the presence of inhibitory neurons, builds a stochastic nonlinear phase dynamic model subject to coupling action of inhibitory neurons, and numerically analyses the process of dynamic evolution and spontaneous behavior under the condition of simulation according to the model. The results prove that inhibitory neurons can reduce the amplitude of the average number density in excitatory neural oscillator population, and trend of the synchronization motion of excitatory neural oscillator population can be controlled through increasing coupling coefficient of inhibitory neurons. Firing density of population of neural oscillator and evolution of average number density is studied through variety of the stimulation intensity.
Starting Page	361
Ending Page	365
File Size	1225082
Page Count	5
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.486
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurodynamics Parkinson's disease Neurons Stochastic processes the average number density Paper technology Oscillators Equations phase neural coding Evolution (biology) Neural networks inhibitory neural oscillator population Computer networks Excitatory neural oscillator population the FPK equation
Content Type	Text
Resource Type	Article

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