摘要
对确定性行为为静息的神经元网络施加随机信号进行控制,随着信号强度的增加,网络行为由无序到有序的空间行为-螺旋波再到无序,螺旋波的结构由复杂到简单再到复杂到简单的交替,由网络行为的空间结构函数计算出的信噪比会两次达到极大值,即发生了两次空间相干共振.结果不仅展示了该随机信号控制下的网络的动力学行为,还为通过施加控制因素诱导产生空间共振来提高神经系统的信息处理能力提供了可能的方法.
A stochastic signal as a control signal was added to a neuronal network, whose deterministic behavior is rest. With the increase of the density of the stochastic signal, the spatio - temporal behavior of the network is changed from disorder to ordered spiral wave firstly and then to disorder, the spiral wave is changed from complex to simple structure, return to complex and then to simple structure, and the signal to noise ratio calculated from spatial structure function of the spatio - temporal behavior of the network reaches to maximal value twice,implying that the spatial coherence resonance is generated twice. The results not only reveal the dynamics of network under the control of the stochastic signal, but also provide the potential approach to enhance the ability of information processing of neurons through addition of control signal to induce spatial coherence resonance.
出处
《动力学与控制学报》
2009年第3期230-234,共5页
Journal of Dynamics and Control
基金
国家自然科学基金项目(1077210
30770701
10432010)
国家高新技术研究发展计划(2007AA02Z310)资助项目~~
关键词
神经元网络
空间共振
相干共振
螺旋波
信噪比
neuronal network, spatial resonance, coherence resonance, spiral wave, signal to noise ratio
