Tzyy-Ping Jung

Tzyy-Ping Jung, Ph.D.


Associate Director
Swartz Center for Computational Neuroscience
Institute for Neural Computation
University of California, San Diego
4150 Regents Park Row, Suite 320
La Jolla, CA 92037
(858) 458-1927 x 12
and
Professor,
Brain Research Center,
National Chiao-Tung University
1001 Ta Hsueh Road, Hsinchu, Taiwan 300, ROC


My research goals are:

  • to apply computational approaches such as time-frequency analysis and neural networks to analyze neural activity associated with human cognition in EEG, MEG, and fMRI experiments,
  • to fuse multiple streams of psychophysiological information to construct prototypes of neurocognitive human-machine interface/interaction, and
  • to develop wireless dry EEG sensor arrays and integrated data and signal processing hardware and software to give non-invasive, high spatial and temporal resolution, recording and interpretation of brain activity in unconstrained, actively engaged human subjects.

    In particular, my colleagues and I have proposed and developed applications of blind source separation techniques to multichannel EEG/MEG/ERP and fMRI data to separate different brain processes into statistically independent components arising from functionally distinct brain or extra-brain networks. This signal decomposition would not have obtained from any conventional signal-processing approaches. The new signal-processing technique opens a novel and revolutionary window into complex event-related brain data (EEG, MEG, ERP, fMRI, etc) that may lead to a more detailed understanding of the strengths and limitations of the human mind, plus possible applications to medicine and to cognitive testing and monitoring.

    Recently, my research has focused on Brain Computer Interface. As we all know, signal changes related to alertness, arousal, sleep, and cognition are present in EEG recordings. However, the lack of availability of EEG monitoring system capable of high-definition recording, online signal processing and artifact cancellation, without use of conductive gels applied to the scalp, has long thwarted both military and civilian applications of EEG monitoring in the workplace. For several years, we have made important progresses in developing signal processing methods to extract EEG correlates of cognitive state changes, attention, event perception and response. We have also collaborated with leading experts in electrical and neural engineering at Brain Research Center, directed by Dr. Chin-Ten Lin, National Chiao Tung University, Taiwan to design, fabricate and test dry biosensors and miniaturized bio-amp, ADC and wireless chips that allow a radically new vision of dynamic brain imaging - development of non-invasive, mobile, high-definition brain imaging (HDBI) of cortical electromagnetic and energy dynamics in human subjects freely moving within their 3-D environments. In particular, we have successfully consolidated our expertises and achievements in circuit design, micro-fabrication, signal processing algorithms, control & robotic engineering, real-time embedded and DSP software development and virtual-reality techniques to build a BCI platform that we expect to have immensive future impacts on clinical research and practice in neurology, psychiatry, gerontology, and rehabilitation medicine.


    Links

    Research interests

    Read & Download My publications

    Tutorial on
    Applying ICA to EEG/ERP Data

    Recent Q & A
    about Applying ICA to ERP Data

    Download
    a MATLAB Toolbox for Independent Component Analysis
    plus EEG/MEG visualization and time/frequency analysis routines


    Contact Info


    E-mail: jung@sccn.ucsd.edu
    Office phone: +1 (858) 458-1927, ext. 12
    Office fax: +1 (858) 458-1847

    Mailing Address:
    Swartz Center for Computational Neuroscience
    Institute for Neural Computation
    University of California, San Diego
    4150 Regents Park Row, Suite 320
    La Jolla, CA 92037

  • 10/16/2007 - Tzyy-Ping Jung / SCCN / INC / UCSD / jung@sccn.ucsd.edu