An integrated setup for in-vitro optogenetic experiments using AI to localize stimulation with a feedback of electrophysiological signals

The study of the brain remains one of the most challenging topics in science. A full understanding of the neuronal dynamics inside a living brain is still far from being achieved. Neuroscience tackles this problem by studying the neuronal functionality as individuals and in networks. For this purpose, different disciplines and approaches are used, e.g. electrophysiology, biochemistry, optogenetics and more. In this project I aim to provide an integrated experimental platform, which will assist in the study of the structure and the functionality of neuronal networks. The setup proposed in this project will serve as an optogenetic tool for in-vitro experiments, controlled by a feedback from electrophysiological signals from the network to address specific neuronal circuits. The control system will be trained by Deep-Learning techniques to localize the stimulation at specific neurons of interest.