Dr. Simone Ebert

Simone Ebert is a PostDoc in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen. She studies how inhibition shapes early visual processing. Inhibitory interneurons constitute the widest class of cells in the retina, yet little is known about their functional roles. By combining biophysical models with machine learning techniques, her work aims to advance our understanding of how the inhibitory circuitry extracts complex features from a visual scene. Before joining the Hertie Institute, she studied how dynamic inhibition can shape temporal predictions of future visual inputs in the retina.