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Decoding hand movements from the premotor and parietal cortex

Hand manipulations are crucial for human and non-human primate behavior. We investigate how neurons in the anterior intraparietal area (AIP) and the ventral premotor area (F5) interact for the planning of hand grasping movements and how these areas encode hand grasping in macaque monkeys. In particular, we are interested to see whether signals from AIP and F5 can predict hand movements in real time, e.g., as needed for the development of a neural prosthesis. Current endeavors of our group include the implementation of such a brain-machine interface (BMI) for hand grasping using arrays of permanently implanted electrodes in AIP and F5. This talk will highlight recent results and possible implications for future BMIs using signals from implanted electrodes.

Type of Seminar:
IfA Seminar
Dipl.-Ing. Scherberger
Feb 20, 2008   3pm

ETF C109
Contact Person:

Dr. Silvestro Micera
No downloadable files available.
Biographical Sketch:
Hansjörg Scherberger received the Master in Mathematics (1993) and the Medical Doctor (1996) at Freiburg University, Germany, before he pursued postdoctoral fellowships in primate systems electrophysiology at the University of Zürich with Volker Henn and Klaus Hepp (1995-1998), and at the California Institute of Technology with Richard A. Andersen (1998-2003). In Spring 2004, he became an junior group leader at the Institute of Neuroinformatics at the University and ETH Zürich, Switzerland, where heads an independent research group that focuses on the neural control of hand grasping movements. He is member of the American and the Swiss Society for Neuroscience, and of the Society for the Neural Control of Movement. He has received a research award from the Christopher Reeve Paralysis Foundation (2000-2002) and currently holds research grants from the European Community and the Swiss National Science Foundation. His research interests include systems neuroscience (in particular: sensorimotor transformation and the neural basis of hand movements) and the development of brain-machine interfaces and neuro-prosthetics for hand grasping.