STOCHASTIC AND OSCILLATORY BURST ACTIVITIES IN A MODEL OF SPIKING NEURONS

Switching between oscillatory and stochastic states in single electrode signals from cat visual cortex is an experimental phenomenon which had not been included in recent models on cortical oscillations. Here, we present a model network of spiking neurons which exhibits such alternating responses as an emergent network property. Simulations of this model reveal a detailed agreement between numerical results and experimental observations.