title: [Research progress of stochastic resonance in neural models].
abstract: In nonlinear systems, noise can improve the responses of the systems with appropriate noise intensity. This phenomenon is called stochastic resonance. Biological neural systems are noisy and stochastic resonance has been found in them experimentally and theoretically. Now many researches focus on the signal transmission and processing in neural models. So this paper introduces the researches of stochastic resonance in noisy neural models. Then the recent research achievement and progress are reviewed in the following three aspects: noise; the development of stochastic resonance; and neural network. At last, the foreground of the study is discussed.
authors.affiliation: College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China.
authors.forename: Xiaobing
authors.initials: X
authors.lastname: Liang
authors.forename: Xishun
authors.initials: X
authors.lastname: Liu
authors.forename: Anzhi
authors.initials: A
authors.lastname: Liu
authors.forename: Boliang
authors.initials: B
authors.lastname: Wang
mesh_terms: D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D015398:Signal Transduction; D013269:Stochastic Processes