Transient termination of spiking by noise in coupled neurons

We examine the effects of stochastic input currents on the. ring behavior of two excitable neurons, coupled with fast excitatory synapses. In such cells (models), typified by the quadratic integrate and. re model, mutual synaptic coupling can cause sustained. ring or oscillatory behavior which is necessarily antiphase. Additive Gaussian white noise can transiently terminate the oscillations by moving the dynamics away from the stable limit cycle. Further application of the noise may return the system to spiking activity. When the noise is sufficiently weak, the durations of the times spent in the oscillating and the resting states are strongly asymmetric. Hence weak noise tends to stop the spiking activity. When the noise is stronger, the periods of cessation of activity tend to be smaller. We numerically investigate an approximate basin of attraction, A, of the periodic orbit and use Markov process theory to explain the. ring behavior in terms of the probability of escape of trajectories from A. Copyright (C) EPLA, 2008.