神经系统信息处理和异常功能的复杂动力学
发布时间:2021-08-07 09:51
神经系统通过电活动实现信息处理及生物功能,电活动的节律和时空行为是功能的动力学表征.神经电生理实验结合理论模型,借助于分岔揭示了外界激励、参数和噪声调控下的周期、混沌和随机等多样性的节律模式及其节律的复杂转迁规律,揭示了感觉神经对信息(如血压压力信号和痛觉信息)的节律编码机制,揭示了突触噪声扩大脑神经元的信息传递能力并对能力强弱进行了分类,结果可用于提高信息检测能力和指导镇痛;借助于单神经元节律的动力学——如分岔和簇放电节律的快慢动力学——解释了网络功能异常的时空行为,如药物调控脑皮层的螺旋波/癫痫和慢抑制耦合调控的运动网络的同步转迁/运动模式异常,结果给出了调控系统功能的途径;通过大数据分析获得自闭症患者的脑功能网络的时空行为特征——症状相关脑区的同步活动降低,给出了用于诊断的潜在指标.通过新实验发现、新建理论模型、新分析方法和新观点阐释,揭示了神经系统的复杂动力学,认识和解释了神经系统的信息处理机制和异常生物功能/疾病,具有重要科学意义和潜在应用价值.
【文章来源】:力学学报. 2017,49(02)北大核心EICSCD
【文章页数】:11 页
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本文编号:3327575
【文章来源】:力学学报. 2017,49(02)北大核心EICSCD
【文章页数】:11 页
【参考文献】:
期刊论文
[1]Spatiotemporal dynamics in a network composed of neurons with different excitabilities and excitatory coupling[J]. XIAO Wei Wei,GU Hua Guang,LIU Ming Rui. Science China(Technological Sciences). 2016(12)
[2]Potassium-induced bifurcations and chaos of firing patterns observed from biological experiment on a neural pacemaker[J]. GU HuaGuang,CHEN ShengGen. Science China(Technological Sciences). 2014(05)
[3]生物神经元系统同步转迁动力学问题[J]. 王青云,张红慧. 力学进展. 2013(01)
[4]Parameter Diversity Induced Multiple Spatial Coherence Resonances and Spiral Waves in Neuronal Network with and Without Noise[J]. 李玉叶,贾冰,古华光,安书成. Communications in Theoretical Physics. 2012(05)
[5]Dynamics of firing patterns,synchronization and resonances in neuronal electrical activities:experiments and analysis[J]. Qishao Lu Huaguang Gu Zhuoqin Yang Xia Shi Lixia Duan Yanhong Zheng School of Science,Beihang University,100191 Beijing,China College of Life Science,Shaanxi Normal University,710062 Xi’ an,China School of Science,Beijing University of Posts and Telecommunications,100876 Beijing,China College of Science,North China University of Technology,100144 Beijing,China School of Mathematics and Computer Science.Fujian Normal University,Fuzhou 350007,China. Acta Mechanica Sinica. 2008(06)
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本文编号:3327575
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