Department of Innovative Mechanical Engineering, Faculty of Global Engineering, Kogakuin University, Tokyo, Japan.
Neural Comput. 2010 May;22(5):1383-98. doi: 10.1162/neco.2010.04-09-997.
The roles of inhibitory neurons in synchronous firing are examined in a network of excitatory and inhibitory neurons with Watts and Strogatz's rewiring. By examining the persistence of the synchronous firing that exists in the random network, it was found that there is a probability of rewiring at which a transition between the synchronous state and the asynchronous state takes place, and the dynamics of the inhibitory neurons play an important role in determining this probability.
在具有 Watts 和 Strogatz 重连的兴奋性和抑制性神经元网络中，研究了抑制性神经元在同步发射中的作用。通过研究随机网络中存在的同步发射的持续时间，发现存在一个重连概率，在该概率下，同步状态和异步状态之间发生转变，并且抑制性神经元的动力学在确定这个概率方面起着重要作用。
