Zhao Gang, Hou Zhonghuai, Xin Houwen
Department of Chemical Physics, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China.
Chaos. 2006 Dec;16(4):043107. doi: 10.1063/1.2360503.
We consider a network of FitzHugh-Nagumo neurons; each neuron is subjected to a subthreshold periodic signal and independent Gaussian white noise. The firing pattern of the mean field changes from an internal-scale dominant pattern to an external-scale dominant one when more and more edges are added into the network. We find numerically that (a) this transition is more sensitive to random edges than to regular edges, and (b) there is a saturation length for random edges beyond which the transition is no longer sharpened. The influence of network size is also investigated.
我们考虑一个由菲茨休 - 纳古莫神经元组成的网络；每个神经元都受到一个阈下周期信号和独立的高斯白噪声的作用。当越来越多的边被添加到网络中时，平均场的放电模式从内部尺度主导模式转变为外部尺度主导模式。我们通过数值计算发现：（a）这种转变对随机边比规则边更敏感；（b）随机边存在一个饱和长度，超过这个长度，转变不再变得更明显。我们还研究了网络规模的影响。
