title: [Analysis of oscillatory pattern based on neural network and its applications].
abstract: Neural oscillatory phenomenon generally exists in the nervous system through a dynamic form. It plays a very important role in the brain, especially in the higher cognitive activities, such as information processing, transfer and integration, consolidating memory and so on. Furthermore, the specific activity pattern of neural oscillations is often associated with cognitive functions and their alterations. Accordingly, how to quantitatively analyze the pattern of neural oscillations becomes one of the fundamental issues in the computational neuroscience. In this review, we addressed a variety of analytic algorithms, which are commonly employed in our recent studies to investigate the issues of neurobiology and cognitive science. In addition, we tried to classify these analytic algorithms by distinguishing their different metrics, synchronization and coupling modes. Finally, multidimensional analytic algorithms for potential application have also been discussed.
authors.affiliation: College of Life Sciences, Nankai University, Tianjin 300071, China.|College of Mathematics, Nankai University, Tianjin 300071, China.|Department of Mathematics, Kashgar Normal College, Kashgar 844008, China.
authors.forename: Qun
authors.initials: Q
authors.lastname: Li
authors.affiliation: College of Life Sciences, Nankai University, Tianjin 300071, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Cheng
authors.affiliation: College of Life Sciences, Nankai University, Tianjin 300071, China. zhangtao@nankai.edu.cn.
authors.forename: Tao
authors.initials: T
authors.lastname: Zhang
mesh_terms: D001921:Brain / Q000502:physiology*; D003071:Cognition; D006801:Humans; D008568:Memory; D009415:Nerve Net / Q000502:physiology*