معرفی
Prof. Richard Hahnloser is a Full Professor at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Institute for Neuroinformatics. He holds a PhD in Physics from ETH Zurich (1999, awarded the ETH Medal) and conducted postdoctoral research at MIT, Howard Hughes Medical Institute, and Bell Labs. His research focuses on neural mechanisms underlying vocal learning in songbirds, particularly auditory-motor signal processing and synaptic plasticity in neural networks.
Education: Physics studies at ETH Lausanne and Zurich (Diploma 1996, PhD 1999). Career highlights include roles as a Swiss National Science Foundation Professor (2004–2007) before becoming a Full Professor at ETH Zurich in 2007. He explores interdisciplinary approaches combining experimental neuroscience, theoretical modeling, and bioimaging.
Research interests include decoding neural networks of song systems, studying motor control via X-ray CT and Neuropixels recordings, and applying machine learning to vocal behavior analysis. Recent work highlights vocal plasticity, sleep-related neural dynamics, and neurotechnology for chronic neural recording.
Notable achievements include the ETH Medal for his PhD and contributions to understanding syrinx anatomy and sensorimotor adaptation. His lab develops tools like MODOC for scientific text analysis and employs correlative microscopy techniques to study neural circuits.
