1pm-6pm
Fung Auditorium
Powell-Focht Bioengineering Hall
UC San Diego
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.
PROGRAM
1:00-1:10pm Welcome
1:10-1:50pm Engineering hope with biomimetic systems
Wentai Liu, UC Santa Cruz
1:50-2:30pm A low power system-on-chip design for real-time ICA based BCI applications
Wai-Chi Fang, National Chiao-Tung University, Taiwan
2:30-3:10pm Developing practical non-contact EEG electrodes
Yu Mike Chi, Cognionics
3:10-3:50pm A new platform for BCI: from iBrain to the Stephen Hawking project
Philip Low, Neurovigil
3:50-4:20pm Coffee break
4:20-5:00pm Interdisciplinary approaches to design high performance brain-machine interfaces
Todd P. Coleman, UC San Diego
5:00-5:40pm Evolving data collection and signal processing methods for intelligent human-system interfaces
Scott Makeig, UC San Diego
5:40-6:00pm Panel discussion
Organized by:
Tzyy-Ping Jung <tpjung@ucsd.edu>
Center for Advanced Neurological Monitoring,
Institute of Engineering in Medicine <http://iem.ucsd.edu>, and
Institute for Neural Computation <http://inc.ucsd.edu>
With support from:
Qualcomm <http://www.qualcomm.com>, and
Brain Corporation <http://www.braincorporation.
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