title: The effect of inhibitory neuron on the evolution model of higher-order coupling neural oscillator population.
abstract: We proposed a higher-order coupling neural network model including the inhibitory neurons and examined the dynamical evolution of average number density and phase-neural coding under the spontaneous activity and external stimulating condition. The results indicated that increase of inhibitory coupling strength will cause decrease of average number density, whereas increase of excitatory coupling strength will cause increase of stable amplitude of average number density. Whether the neural oscillator population is able to enter the new synchronous oscillation or not is determined by excitatory and inhibitory coupling strength. In the presence of external stimulation, the evolution of the average number density is dependent upon the external stimulation and the coupling term in which the dominator will determine the final evolution.
authors: Institute for Cognitive Neurodynamics, East China University of Science and Technology, Shanghai 200237, China.
authors: Yi
authors: Y
authors: Qi
authors: Institute for Cognitive Neurodynamics, East China University of Science and Technology, Shanghai 200237, China.
authors: Rubin
authors: R
authors: Wang
authors: School of Mathematics, Hefei University of Technology, Hefei 230009, China.
authors: Xianfa
authors: X
authors: Jiao
authors: Institute for Cognitive Neurodynamics, East China University of Science and Technology, Shanghai 200237, China.
authors: Ying
authors: Y
authors: Du
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D009474:Neurons / Q000378:metabolism / Q000502:physiology*; D009991:Oscillometry; D011336:Probability; D012984:Software; D013269:Stochastic Processes; D009435:Synaptic Transmission