The role of dendritic versus somatic inhibition during slow wave oscillations in the neocortex Computational Neuroscience


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.

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

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