Benjamin Grewe

Prof. Benjamin Grewe is a Professor in the Department of Electrical Engineering at ETH Zurich. His research focuses on computation in neural circuits and learning algorithms in both biological and artificial neuronal networks. His work explores the intersection of neuroscience and machine learning, aiming to understand and replicate cognitive processes through computational models. Prof. Grewe's research contributes to advancing our understanding of neural computation and its applications in artificial intelligence.

Benjamin F. Grewe is a researcher in Systems and Computational Neuroscience and Bio-plausible Deep Learning. His work focuses on understanding neuronal network activity through high-speed in vivo calcium imaging and developing advanced techniques for recording neural spikes in awake animals. He explores how neural ensembles encode behavioral states, such as pain unpleasantness and social information, and investigates the dynamics of memory and context in hippocampal pathways. Grewe also contributes to the development of deep learning frameworks for behavioral analysis and anomaly detection in industrial time series. His research bridges computational neuroscience with engineering approaches to optical imaging and neural ensemble dynamics.