神经元动力系统的随机共振现象

本文首先简单介绍了随机共振和随机自共振的概念、物理意义、理论模型和实验验证。在此基础上。着重对高度非线性的神经系统电活动的随机共振现象进行了介绍。内容包括神经元动力系统的非线性、神经元随机共振、随机自共振的实验和理论解释。     

树形多体系统动力学的隐式数值算法

研究了树形多体系统动力学的隐式算法．用矩阵形式给出了多体系统的正则方程及其右端函数的Ｊａｃｏｂｉ矩阵，并给出该矩阵的分块算法和对角隐式Ｒｕｎｇｅ－Ｋｕｔａ法（ＤＩＲＫＭ）以及隐式辛Ｒｕｎｇｅ－Ｋｕｔａ法（ＩＳＲＫＭ）．该算法便于编程计算，能提高计算效率，保持长期计算的稳定性．并用算例说明该算法的有效性     

第二届国际动力学、振动与控制学术会议(ICDVC-2006)介绍

动力学、振动与控制是力学理论和应用的重要分支,也是现代科学技术十分活跃的前沿研究领域.从经典定义的角度来看,动力学与控制学科主要研究牛顿力学的一般原理和一切宏观离散系统的动力学现象.由于连续介质力学问题可以经过离散化而变成有限自由度系统的问题来处理,并且现代动力学理论可以推广到连续系统,因而动力学与控制理论中的原理和方法也同样适用于连续介质力学.     

odgkin—Huxley方程的Hopf分岔的研究

数值计算发现Ｈｏｄｇｋｉｎ－ｈｕｘｌｅｙ（ＨＨ）方程中存在亚临界Ｈｏｐｆ分岔。对ＨＨ方程进行具体分析，得到简化ＨＨ方程用规范型（ｎｏｒｍａｌ ｆｏｒｍ）理论对简化ＨＨ进行定一性分析，发现简化ＨＨ方程反映了ＨＨ方程的分岔性态。     

Comparison of Synchronization Ability of Four Types of Regular Coupled Networks

We investigate the synchronization ability of four types of regular coupled networks. By introducing the proper error variables and Lyapunov functions, we turn the stability of synchronization manifold into that of null solution of error equations, further, into the negative definiteness of some symmetric matrices, thus we get the sufficient synchronization stability conditions. To test the valid of the results, we take the Chua's circuit as an example. Although the theoretical synchronization thresholds appear to be very conservative, they provide new insights about the influence of topology and scale of networks on synchronization, and that the theoretical results and our numerical simulations are consistent.     

Phase synchronization and its bursting neurons： theoretical transition in two coupled and numerical analysis

It is crucially important to study different synchronous regimes in coupled neurons because different regimes may correspond to different cognitive and pathological states. In this paper, phase synchronization and its transitions are discussed by means of theoretical and numerical analyses. In two coupled modified Morris-Lecar neurons with a gap junction, we show that the occurrence of phase synchronization can be investigated from the dynamics of phase equation, and the analytical synchronization condition is derived. By defining the phase of spike and burst, the transitions from burst synchronization to spike synchronization and then toward nearly complete synchronization can be identified by bifurcation diagrams, the mean frequency difference and time series of neurons. The simulation results suggest that the synchronization of bursting activity is a multi-time-scale phenomenon and the phase synchronization deduced by the phase equation is actually spike synchronization.     

Bifurcation and stability of spatially periodic solutions of nonlinear evolution equations with integral operators

A more general kind of nonlinear evolution equations with integral operators is discussed in order to study the spatially periodic static bifurcating solutions and their stability. At first, the necessary condition and the sufficient condition for the existence of bifurcation are studied respectively. The stability of the equilibrium solutions is analyzed by the method of semigroups of linear operators. We also obtain the principle of exchange of stability in this case. As an example of application, a concrete result for a special case with integral operators of exponential type is presented. This work was supported by the Chinese National Foundation of Natural Science     

非线性动力学在心脏电活动研究中的应用

本文介绍了非线性动力学在心脏电活动研究中的应用。主要内容包括非线性分析指标、心率变异非线性分析、异常心率（心室振颤）的非线性分析、心脏细胞动作电位模型中的搏动节律的分叉与混沌现象及机理、混沌控制在心脏电活动研究中的应用,并对今后发展方向提出了展望。非线性动力学分析方法是研究心脏电活动的良好工具,使得解决心脏电活动中的难题成为可能。     

The motion of organization center of scroll waves in excitable media with single diffusion

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