Slow wave (SW) oscillatory activity occurring during nonREM sleep phases in the neocortex are characterized by periodic up and down states. During up-states, several neurons fire synchronously and spikes are locked at gamma frequency. Each up-state is followed by a down-state where all neurons return to a hyperpolarized quiescent state. It has been shown that inhibition is necessary to terminate an up-state and thereby pace the up/down state activity in the cortex. However, it is not known how the interplay between somatic and dendritic inhibition shape the frequency, duration and spike-locking between several excitatory cells during up/down-state activity. The aim of the project is to study a computational model based on connectivity data between pyramids, PV+ and SOM+ interneurons to uncover the potential role of these two principal types of inhibition during ongoing slow wave oscillatory activity in the cortex.