[Comp-neuro] CFP: IEEE SIGNAL PROCESSING MAGAZINE Special Issue on
ps629 at columbia.edu
Wed Oct 25 18:03:57 CEST 2006
CALL FOR PAPERS
IEEE SIGNAL PROCESSING MAGAZINE
Special Issue on Brain-Computer Interfaces
Developing real-time systems for decoding neural activity so as to
provide a direct interface between brain and machine is no longer
science fiction, instead it is an active area of research that has
been termed brain computer interfaces (BCI). BCI research is highly
multidisciplinary, integrating neuroscience, rehabilitation
engineering, human computer interface design, machine learning and
signal processing into either invasive or non-invasive systems that
are capable of decoding brain activity so as to generate control/
communication signals for interpretation by computers. The
application and utility of BCI ranges from systems for aiding those
with severe neurological disease to systems optimizing the workload
of a user by modulating information delivery based on the user's
current "brain state".
BCI research is an excellent example of "applied signal processing",
since at its core lies the real-time, online decoding of noisy multi-
dimensional signals. Though the BCI field has made tremendous
progress in recent years, there are still serious challenges, many of
which could potentially be addressed by advances/improvements in
signal processing, including increasing information transmission
rates, more robust neural decoding algorithms, adaptive multi-channel
This CFP is aimed at researchers applying signal processing
techniques to build BCI systems. The special issue will cover a broad
range of topics including hardware, software, algorithmic and
application areas of BCI specifically focused on signal processing.
High-quality tutorial-style papers are solicited from the following
non-exhaustive list of topics.
Scope of topics:
Multi-electrode technologies interfacing with the motor system of
primates or humans for decoding planned/intended movement (MEMs
electrodes, LNA circuits, etc.).
Non-invasive BCI systems (electroencephalography or EEG,
electrocorticography or ECoG, and functional near infrared imaging or
fNIR) for decoding neural activity in humans.
Review and comparisons of linear versus non-linear signal processing
for decoding neural activity.
Multi-modal neural imaging methods for BCI.
Systems for monitoring brain state to enable cognitive user interfaces.
On-line algorithms for data compression necessary for low bandwidth
wired or wireless communication to/from implanted systems (e.g.,
spike sorting, lossy compression).
On-line algorithms for decoding neural activity, including circuit
implementations or implantable systems.
Implantable telemetry systems for communication to/from implanted
systems (e.g., optimal frequency considerations, low power
Signal processing methods for handling artifacts in BCI systems
Prospective authors should submit white papers to the web submission
system at http://www.ee.columbia.edu/spm/ according to the following
timetable. White papers, limited to 2 single-column double-spaced
pages, should summarize the motivation, the significance of the
topic, a brief history, and an outline of the content. In all cases,
prospective contributors should make sure to emphasize the signal
processing in their submission.
Schedule (all deadlines are firm no exceptions)
White paper due:
December 1, 2006
January 1, 2007
May 1, 2007
August 1, 2007
Final Manuscript due:
September 15, 2007
ps629 at columbia.edu
Technical University of Berlin and Fraunhofer FIRST
klaus at first.fhg.de
Krishna V. Shenoy
shenoy at stanford.edu
Paul Sajda, Ph.D.
Department of Biomedical Engineering
351 Engineering Terrace Building, Mail Code 8904
1210 Amsterdam Avenue
New York, NY 10027
tel: (212) 854-5279
fax: (212) 854-8725
email: ps629 at columbia.edu
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