The LNM Institute of Information Technology, Jaipur, India.
Chaos. 2009 Sep;19(3):033105. doi: 10.1063/1.3176438.
Chaotic neuronal maps are studied with threshold activated coupling at selected pinning sites with increasing pinning density. A transition from spatiotemporal chaos to a fixed spatial profile with synchronized temporal cycles is observed. There is an optimal fraction of sites where it is necessary to apply the control algorithm in order to effectively suppress chaotic dynamics.
在选定的钉扎位点上,通过阈值激活耦合来研究混沌神经元图谱,钉扎密度逐渐增加。观察到从时空混沌到具有同步时间周期的固定空间分布的转变。存在一个最优的位点分数,需要应用控制算法才能有效地抑制混沌动力学。