We study analytically the dynamics of a network of sparsely connected inhibitory integrate-and-fire neurons in a regime where individual neu- rons emit spikes irregularly and at a low rate. In the limit when the number of neurons N→∞, the network exhibits a sharp transition be- tween a stationary and an oscillatory global activity regime where neurons are weakly synchronized. The activity becomes oscillatory when the in- hibitory feedback is strong enough. The period of the global oscillation is found to be mainly controlled by synaptic times but depends also on te characteristics of the external input.
展开▼
