Review Article
Construction of Virtual Neuron and Consolidation of Sleep and Memory Process– A Molecular Docking and Biomathematical Approach
Bin Zhao1*, Kuiyun Huang1, Jinming Cao2, Xia Jiang3 and Jingfeng Tang4
1Department of Mathematics, School of Science, Hubei University of Technology, China
2School of Information and Mathematics, Yangtze University, Hubei, China
3Hospital, Hubei University of Technology, Wuhan, Hubei, China
4National “111” Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, China
Bin Zhao, School of Science, Hubei University of Technology, China.
Received Date: March 09, 2019; Published Date: April 15, 2019
Abstract
Sleep plays an important role in learning and memory processing in our daily life. There is also a direct correlation to insufficient sleep increasing the risk of diabetes. As sleep can be broadly divided into SWS sleep and REM sleep within a SWS_REM cycle, this paper presents a literature review aiming to firstly summary the sequential contributions of these two kinds of sleep on declarative and procedural memory consolidation and then explain the neurobiological root of memory impairment under sleep deprivation. An attempt was made to formulate some mathematical models on neuron of sleep and memory process which are the important physiological phenomena of human beings. We find out that Nervousness, Age and Sex have great influence on sleep and memory quality, among which Nervousness has the strongest influence on sleep and memory quality. As a stepping stone in this direction, the present study is designed with a molecular docking and biomathematical approach to formulate some speculations to construct virtual neuron and consolidation of sleep and memory process.
Keywords: Virtual neuron; Two-stage model; SWS sleep; REM sleep; Memory consolidation; Sleep deprivation
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Bin Zhao, Kuiyun Huang, Jinming Cao, Xia Jiang, Jingfeng Tang. Construction of Virtual Neuron and Consolidation of Sleep and Memory Process– A Molecular Docking and Biomathematical Approach. Arch Animal Husb & Dairy Sci. 1(3): 2019. AAHDS.MS.ID.000512.
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