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Dawn
Taylor, Ph.D.
Assistant Professor
| Office: |
Room 101 Wickenden Building |
| Phone: |
(216) 368-2476 |
| Fax: |
(216) 368-4872 |
| Email: |
dxt42@case.edu |
| Mail Address: |
Room 309 Wickenden Building
10900 Euclid Avenue
Cleveland, OH 44106-7207 |
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Research Summary
The long term goal of my research is
to interface FES systems directly to the brain. Intended
movement can be interpreted from the activity in the
motor cortex, and we would like to use these signals
to control FES systems. This would allow paralyzed individuals
to move their limbs the same way everyone else does -
just by thinking of doing so. I'm pursuing several parallel
lines of research that will get us to that long-term
goal.
I am investigating the use of both invasive
and non-invasive brain recording techniques such as intracortical
microelectrodes, brain surface recordings, and scalp
surface recordings. These different types of brain signals
are being applied to the control of a virtual arm representations
of an arm as well as to the control of assistive robotics,
and finally FES systems that restore arm and hand function
to people with spinal cord injuries. One aspect of this
work is to develop ways to utilize brain signals more
effectively by retraining the brain to more accurately
convey the desired action of the limb. This requires
the development of appropriate training environments
and adaptive decoding algorithms that can track changes
in brain pattern generation over time. Direct brain control
of both real and virtual arm and hand movements are being
used to evaluate decoding algorithms and retraining methods.
My work includes the use of rodent models of spinal cord
injury, healthy non human primate models, and human subjects
both with and without movement deficits.
Recent Publications
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Taylor DM, The Importance of Online Error Correction and Feed-Forward Adjustments in Brain-Machine Interfaces for Restoration of Movement, In G. Dornhege, et al (Ed.) Towards Brain-Computer Interfacing, Cambridge, MA: MIT Press (in press). |
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Taylor DM, Neurocontrol of Assistive Technology, In M. Akay (Ed.) Encyclopedia of Biomedical Engineering: Neural Engineering, Hoboken, NJ:John Wiley & Sons Inc. 2006.
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Cowan TM and Taylor DM, Predicting reach goal in a continous workspace for command of a brain- controlled upper limp neuroprosthesis, Proceedings of the 2nd international IEEE EMBS Conference on Neural Engineering, 2005. Arlington VA, March 16-19, 2005. |
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Helms Tillery SI, Taylor DM, Signal Acquisition and Analysis for Cortical Control of Neuroprosthetics, Current Opinions in Neurobiology,14: 758-762, 2004. |
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