Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth.

This blog reports latest progresses in
(1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home
(2) Sparse Signal Recovery and Compressed Sensing of Signals by Exploiting Spatiotemporal Structures
(3) My Works


Friday, November 4, 2011

Minisymposium on New Dimensions in Brain-Machine Interfaces at UCSD

Wednesday, November 9, 2011
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.com>

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