Machine learning and neuroscience have a profoundly interconnected history with modern deep learning having its roots in neurophysiology. In the last couple of decades, breakthroughs in artificial intelligence (AI) and neuroscience have advanced our understanding of both domains and unveiled exciting new research opportunities at their intersection. Currently, AI can help support neuroscientific research through various approaches. My talk focuses on recent examples of AI applications in neuroscience, as well as my recent work on using deep neural networks for automating and speeding up optical voltage imaging and superresolution microscopy.

Lecturer:
Prof. Dr. Nergis Tömen

Contact:
Agnes Janßen (ajanssen@neuro.uni-bremen.de)