Güler and Linaro et al Model in an Investigation of the Neuronal Dynamics using noise Comparative Study
Recently, theoretical arguments, numerical simulation and experiments shown that ion channel noise in neurons can have deep impact on the behavior of the neuron's dynamical when there is a limited size for the membrane space. It can be create different models of Linaro al equations by using stochastic differential equations to find the impacts of ion channel noise, and it has been analytically put forward the Güler model. More recently, Güler has discussed that in small neurons the rate functions for the closing and opening of gates are under the effect of the noise. In this research, the investigation of dynamics neurons are determined with noise rate functions. The exact Markov simulations will be employ during the investigation with above analytical models. Comparatively, the results will be presented from these models. The research aims to show more details on the phenomenon recently outlined by Güler.
 Abbot, D. P. (2002). Thеoretical Neuroscience Computation and Mathеmatical Modeling of Neural System. MIT press.
 Faisal, A. S. (2008). Noise in thе nervous system. nervous system. Nature Reviews Neuroscience, 9, 292–303.
 Özer, M. (2006). Frequency-dependent information coding in neurons with stochastic ion channels for subthreshold periodic forcing. Physics Letters A, 354, 258–263.
 Sakmann, B. &. (1995). Single-channel recording (2nded.). New York: Plenum.
 Schmid, G. G. (2001). Stochastic resonance as a collective property of ion channel assemblies. Europhysics Letters, 56, 22–28.
 Izhikevich, E. M. (2007). Dynamical Systems in Neuroscience:Thе Geometry of Excitability and Bursting. MIT press.
 Jacobson, G. A. (2005). Subthreshold voltage noise of rat neocortical pyramidal neurones. Journal of Physiology, 564,145–160.
 Kole, M. H. (2006). Single Ih channels in pyramidal neuron dendrites: Properties, distribution, and impact on action potential output. Journal of Neuroscience, 26, 1677–1687.
 Güler, M. (2013). Stochastic Hodgkin-huxley equations with colored noise terms in thе conductances. Neural Computation .25:46-74, 2013.
 Hodgkin, A. L. (1952). A quantitative description of membrane current and its application to conduction and excitationin in nerve. Journal of Physiology. (London.Print), 117, 500–544.
 Whishaw, K. B. (2012). Fundamentals of Human Physiology FOURTH EDITION. Virginia United States.
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