The minisymposium highlights latest advances and emerging directions in
brain-machine and neuron-silicon interface technology and their
applications to neuroscience and neuroengineering. Topics include
high-dimensional EEG and ECoG systems, wireless and unobtrusive
brain-machine interfaces, flexible bioelectronics, real-time decoding of
brain and motor activity, and signal processing methods for intelligent
human-system interfaces.
Date: Wednesday, November 9, 2011
Time: 1pm-6pm
Location: Fung Auditorium, Powell-Focht Bioengineering Hall, UC San Diego
Map: http://www.jacobsschool.ucsd.edu/about/map.shtml
Organized by:
Center for Advanced Neurological Engineering <http://inc.ucsd.edu/cane.html>
Institute of Engineering in Medicine <http://iem.ucsd.edu>
Institute for Neural Computation <http://inc.ucsd.edu>
With support from:
Qualcomm <http://www.qualcomm.com>, and
Brain Corporation <http://www.braincorporation.com>
PROGRAM
- 4:20-5:00pm Interdisciplinary approaches to design high performance brain-machine interfaces
Todd P. Coleman (http://coleman.ucsd.edu/),
UC San Diego
- 5:00-5:40pm Evolving data collection and signal processing methods for intelligent human-system interfaces
Scott Makeig (http://sccn.ucsd.edu/~scott/),
UC San Diego
- 5:40-6:00pm Panel discussion
Contact:
Tzyy-Ping Jung <tpjung@ucsd.edu>
UCSD Center for Advanced Neurological Engineering
<http://inc.ucsd.edu/cane.html> |
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