title: [Coherence resonance of a nonlinear neuron model].
abstract: Based on a nonlinear neuron model, the Poisson noise is used to imitate the noisy environments of neurons, and, further, the phenomenon of coherence resonance (CR) of a nonlinear neuron model subject to a voltage-gated channel noise and a random point trains synaptic noise is investigated. Based on the fractional noise theory and Euler schemes, the evolution of the membrane potential and the coefficient of variation (CV) of the interval-spike-interval of the neuron firing have been obtained. It is shown that, in the absence of external periodic signal, such CV can be decreased at a certain intensity of neurotransmitter arrivals trains lambda and a proper strength of the voltage-gated channel noise D, so that the coherence of the system is maximal and the phenomenon of CR can take place.
authors: School of Life Science and Technology, UESTC, Chengdu 610054, China. lzhh@cuit.edu.cn
authors: Zhihong
authors: Z
authors: Liu
authors: Yurong
authors: Y
authors: Zhou
authors: Xiaofeng
authors: X
authors: Pang
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D002540:Cerebral Cortex / Q000166:cytology / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000166:cytology / Q000502:physiology*; D016012:Poisson Distribution; D013269:Stochastic Processes; D013569:Synapses / Q000502:physiology