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Note: All of the links should work from within UW. If
not, try the UW
Libraries webpage.
| Date |
Topic |
Presenter |
| March 27 |
Introduction to Brain-Computer Interfaces.
Background:
Brain-computer interfaces for Communication and Control (review)
Clinical Neurophysiology 113 (2000) |
Raj (slides) |
| March 29 |
Introduction to Machine Learning for BCI |
Pradeep(slides) |
| April 3 |
Brain 101: Basic Neurobiology |
Raj(slides) |
| April 5 |
Guest Lecture: Volitional Control of Neural Activity with Applications to BCI |
Eb Fetz(slides) |
| April 10 |
Invasive BCIs: Decoding Motor Signals from Neural Activity
Actions from Thoughts. MA Nicolelis. Nature 409, 2001.
Motor Cortical Representation of Speed and Direction During Reaching. Daniel W. Moran and Andrew B. Schwartz. Journal of Neurophysiology 82(5), 1999.
|
Rob Egbert |
| April 12 |
Invasive BCIs: Towards Neural Prosthetics
Direct cortical control of 3D neuroprosthetic devices. Taylor DM, Tillery SI, and Schwartz AB, Science 296:1829-1832, 2002.
Cognitive control signals for neural prosthetics. Musallam S, Corneil BD, Greger B, Scherberger H, and Andersen RA, Science 305:258-262, 2004.
Learning to control a brain-machine interface for reaching and grasping by primates. J. M. Carmena et al., PLoS Biology 1(2), 2003.
|
Stavros Zanos and
Jeff Cole
(slides1,slides2) |
| April 17 |
Guest Lecture: Introduction to Particle Filtering |
Dieter Fox (slides) |
| April 19 |
Invasive BCIs based on Particle/Kalman Filtering
Recursive Bayesian Decoding of Motor Cortical Signals by Particle Filtering. A. E. Brockwell, A. L. Rojas and R. E. Kass, J Neurophysiol 91: 1899-1907, 2004.
Neural decoding of cursor motion using a Kalman filter. Wu, W., Black, M. J., Gao, Y., Bienenstock, E., Serruya, M., Shaikhouni, A., Donoghue, J. P., Advances in Neural Information Processing Systems 15, 2003. |
Eric Rombokas and
Jean Wu
(slides1,slides2) |
| April 24 |
Guest Lecture: Electrocorticography (ECoG) and BCI |
Kai Miller |
| April 26 |
Invasive BCIs using ECoG Signals
A brain-computer interface using electrocorticographic signals in humans. Eric C Leuthardt, Gerwin Schalk, Jonathan R Wolpaw, Jeffrey G Ojemann and Daniel W Moran. J. Neural Eng. 1(2), 63-71, 2004.
Methods
Towards Invasive Human Brain Computer Interfaces. Lal, T. N. et al. Advances in Neural Information Processing Systems 17, 2005.
|
Ioannis Giotis and
Ryan Libby |
| May 1 |
Non-Invasive BCIs: The Berlin EEG-Based BCI System
Background Reading: The Berlin Brain-Computer Interface: report from the feedback
session. Blankertz, B.; Dornhege G.; Krauledat,
M; Mueller, K-R.; Curio, G. Technical Report 1, Fraunhofer FIRST. |
Pradeep(slides) |
| May 3 |
Non-Invasive BCIs: Representative EEG-Based Systems
Control of a
two-dimensional movement signal by a noninvasive brain-computer
interface in humans. Wolpaw JR, Mc Farland DJ. Proc Natl Acad Sci U S A. 2004 Dec 21;101(51):17849-54.
Non-Invasive
Brain-Actuated Control of a Mobile Robot, J. del R. Millan, F. Renkens, J. Mourino, and W. Gerstner, in Proceedings of the 18th International Joint Conference on Artificial Intelligence, 2003. |
Jon Malkin and
Josh Storz
(slides1,slides2) |
| May 8 |
Non-Invasive BCIs: SSVEP and P300
Use
of the evoked potential P3 component for control in
a virtual apartment. Bayliss, J.D. TNSRE 2003.
Steady-state visual
evoked potential (SSVEP)-based communication: impact of harmonic
frequency components. Muller-Putz, G.; Scherer, R.; Brauneis, C.; Pfurtscheller, G.
– in: Journal of neural engineering 2 (2005) , S. 123-130
|
CJ Bell |
| May 10 |
Non-Invasive BCIs: Improving Accuracy
Boosting
bit rates in non-invasive EEG single-trial
classifications by feature combination and multi-class paradigms.
Guido Dornhege, Benjamin Blankertz, Gabriel Curio, and Klaus-Robert Mueller.
IEEE Trans. Biomed. Eng., 51(6):993-1002, June 2004. |
Bhushan Mandhani (slides) |
| May 15 |
Non-Invasive BCIs: Increasing the Number of Output Classes
Characterization of
Four-Class Motor Imagery EEG Data for the
BCI-Competition 2005.
Schlogl, A.; Lee, F. Y.; Bischof, H.; Pfurtscheller, G.
– in: Journal of neural engineering 2 (2005) |
Dan Liebling |
| May 17 |
Guest Lecture: Development of a Neural Prosthesis for Motor Rehabilitation |
Andrew Jackson (slides) |
| May 22 |
BCI Applications: Spellers and Keyboards
Robust
Classification of EEG Signal for Brain-Computer Interface.
Thulasidas, M.; Guan, C.; Wu, J. TNSRE 14 (1) 2006.
An
asynchronously controlled EEG-based Virtual
Keyboard: improvement of the spelling rate.
Scherer, R.; Muller-Putz, G.; Neuper, C.; Graimann, B.; Pfurtscheller, G.
IEEE transactions on biomedical engineering 51 (2004)
|
Marta Penas |
| May 24 |
BCI Applications: Stimulation and Search
EEG-based asynchronous BCI controls functional electrical stimulation in a
tetraplegic patient. Pfurtscheller, G.; Muller-Putz, G.; Pfurtscheller, J.; Rupp, R.,
in: EURASIP journal on applied signal processing 19 (2005) , S. 3152-3155
High-throughput Image Search via Single-trial Event Detection in a Rapid
Serial Visual Presentation Task, P. Sajda, A. Gerson and L.C. Parra (2003)
IEEE Conference on Neural Engineering Capri Island, Italy, March 20-22, 2003, 7-10. |
Ian Ma and
Justin Vincent |
May 29 |
No Class (University Holiday) |
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| May 31 |
Project presentations (in **CSE 303 Allen Center**; written reports due on **Friday June 2** by email) |
Student Teams |
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