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| 1 | A review for dynamics of collective behaviors of network of neurons显示文摘The nervous system is composed of a large number of neurons, and the electrical activities of neurons can present multiple modes during the signal transmission between neurons by changing intrinsic bifurcation parameters or under appropriate external forcing. In this review, the dynamics for neuron, neuronal network is introduced, for example, the mode transition in electrical activity, functional role of autapse connection, bifurcation verification in biological experiments, interaction between neuron and astrocyte, noise effect, coherence resonance, pattern formation and selection in network of neurons. Finally, some open problems in this field such as electromagnetic radiation on electrical activities of neuron, energy consumption in neurons are presented. | MA Jun TANG Jun | 2015 | Science China(Technological Sciences)2015，58，12： | 19 |
| 2 | Parameters identification of chaotic systems based on artificial bee colony algorithm combined with cuckoo search strategy显示文摘Artificial bee colony(ABC) algorithm is motivated by the intelligent behavior of honey bees when seeking a high quality food source. It has a relatively simple structure but good global optimization ability. In order to balance its global search and local search abilities further, some improvements for the standard ABC algorithm are made in this study. Firstly, the local search mechanism of cuckoo search optimization(CS) is introduced into the onlooker bee phase to enhance its dedicated search; secondly, the scout bee phase is also modified by the chaotic search mechanism. The improved ABC algorithm is used to identify the parameters of chaotic systems, the identified results from the present algorithm are compared with those from other algorithms. Numerical simulations, including Lorenz system and a hyper chaotic system, illustrate the present algorithm is a powerful tool for parameter estimation with high accuracy and low deviations. It is not sensitive to artificial measurement noise even using limited input data. | DING ZhengHao LU ZhongRong LIU JiKe | 2018 | Science China(Technological Sciences)2018，61，3： | 8 |
| 3 | An introduction and guidance for neurodynamics显示文摘Diseases associated with nervous system have brought much pain and anxiety for patients.As a result,clinical diagnosis such as big data analysis based on functional magnetic resonance imaging(f MRI)[1],computational neurodynamics,and cognitive neurodynamics have been paid much attention.It is believed that potential mechanism for abnormality[2]in nervous system could be discerned by detecting dynamic behavior of central | Jun Ma Jian Xu | 2015 | Science Bulletin2015，60，22： | 2 |
| 4 | 认知神经科学中蕴藏的力学思想与应用显示文摘该文系统总结了作者团队在脑科学领域内提出的神经能量理论与方法,以及力学与神经能量理论之间的内在联系.着重介绍了如何运用分析动力学的思想构建一个与H-H模型等效的W-Z神经元模型.并以此为基础,在神经科学领域内提出了以神经能量为核心的大尺度神经科学模型和大脑全局神经编码的理论框架.在包括视知觉等多个感知觉神经系统的信息处理、大脑的智力探索以及预测神经元新的工作机制、解释神经科学难以解释的实验现象等方面,证实了这个新颖的神经元模型所展现出来的独特功能与优势.由于可塑性是认知神经科学与智能行为的核心,通过蛋白质分子机器的经典力学分析,进一步阐明了神经元的可塑性和神经发育不仅仅只是生物化学反应过程,力学的作用与贡献也是不可或缺的重要因素.表明了力学科学在神经科学、生命科学中的研究思想及其内在逻辑的深远影响.这些研究对于今后推动实验神经科学与理论神经科学的融合,摒弃神经科学领域中还原论与整体论研究方法中的不足,并将它们各自的优点进行有效地整合,促进力学科学的理论与方法的渗透是极其重要的. | 王如彬 王毅泓 徐旭颖 潘晓川 | 2020 | 力学进展2020，50，1： | 2 |
| 5 | New advances in monitoring and triggering of mechanical ventilation显示文摘Mechanical ventilation has been widely used in intensive care unit(ICU)to provide adequate air exchange to patients with respiratory difficulty.It helps patients with a ventilator that presses air into patients’lungs at triggering time.As a key therapy in ICU,mechanical ventilation is of great significance in clinical research of respiratory treatment.For example,simulation research of mechanical ventilation can be made through dynamics equations of pneumatic | SHI Yan ZHANG BoLun WANG ZeDan CAI MaoLin SHEN DongKai | 2016 | Science China(Technological Sciences)2016，59，11： | 1 |
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