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The Effect Of Inhibitory Neuron On The Evolution Model Of Higher-order Coupling Neural Oscillator Population

Posted on:2015-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y QiFull Text:PDF
GTID:2268330428475629Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The kinetic theory of phase transitions has been applied successfully in the field of neural populations encoding process.However, in many previous studies, group of inhibitory neurons were always overlooked in the role of encoding process.This pager studies oscillator network evolution involved with high order coupled neuron oscillators. Firstly, we take the classical theory of phase transitions as the theoretical basis, and then put forward neural network model with higher order coupling.We have studied the spontaneous activity in average density evolution and phase neural coding as well as in the condition of stimulating.The results show that when the coupling strength of inhibitory neurons increases, the average density will decreases. When the strength of excitatory coupling increases causes an increase in the amplitude of the average density stabilized. Both the excitatory and inhibitory coupling strength have a impact on whether the neural oscillator population is able to enter a new synchronous oscillation. And also through study found that nerve density function of the release oscillator waveform and the coupling between neurons has a significant order of relevance. When there exits stimulation, the average density of neurons cluster evolution is determined by coupling term and stimulus items, stimulation and coupling that a dominant evolutionary trends will determine the final result.The results of this study further clarified that the synchronization feature is the causal relationship presented by the related neuronal activity under certain conditions. It’s an effective form to build time relation between neurons and to implement transfer information and the further research has explored the "hunting" and "rhythmic activity" and other characteristics in the population of neurons. And in-depth study of neuronal populations in the information processing, coordinating role between neurons as well as group activities of the time pattern and spatial patterns in information processing and transmission of an important role.
Keywords/Search Tags:Neuroinformatic, Excitatory neural oscillator population, Inhibitory neuraloscillator population, The average number density, FPK equation, Phase neuralcoding, Critical state
PDF Full Text Request
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