Karin Bierig | Empirical Inference - Max Planck Institute for Intelligent Systems

Karin Bierig
Research Technician

Empirical Inference

Office: N-1.047
Spemannstr. 34
72076 Tübingen
Germany

+49 7071 601 597

+49 7071 601 552

Publications

2 results (BibTeX)

2005

An Auditory Paradigm for Brain-Computer Interfaces

Hill, N., Lal, T., Bierig, K., Birbaumer, N., Schölkopf, B.

In Advances in Neural Information Processing Systems 17, pages: 569-576, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

Abstract

Motivated by the particular problems involved in communicating with "locked-in" paralysed patients, we aim to develop a brain-computer interface that uses auditory stimuli. We describe a paradigm that allows a user to make a binary decision by focusing attention on one of two concurrent auditory stimulus sequences. Using Support Vector Machine classification and Recursive Channel Elimination on the independent components of averaged event-related potentials, we show that an untrained user's EEG data can be classified with an encouragingly high level of accuracy. This suggests that it is possible for users to modulate EEG signals in a single trial by the conscious direction of attention, well enough to be useful in BCI.

PDF Web [BibTex]

2005

Hill, N., Lal, T., Bierig, K., Birbaumer, N., Schölkopf, B. An Auditory Paradigm for Brain-Computer Interfaces In Advances in Neural Information Processing Systems 17, pages: 569-576, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

PDF Web [BibTex]

2004

Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface

Hill, J., Lal, T., Bierig, K., Birbaumer, N., Schölkopf, B.

In BioCAS04, (S3/5/INV- S3/17-20):4, IEEE Computer Society, Los Alamitos, CA, USA, 2004 IEEE International Workshop on Biomedical Circuits and Systems, December 2004 (inproceedings)

Abstract

Motivated by the particular problems involved in communicating with "locked-in" paralysed patients, we aim to develop a brain-computer interface that uses auditory stimuli. We describe a paradigm that allows a user to make a binary decision by focusing attention on one of two concurrent auditory stimulus sequences. Using Support Vector Machine classification and Recursive Channel Elimination on the independent components of averaged event-related potentials, we show that an untrained user‘s EEG data can be classified with an encouragingly high level of accuracy. This suggests that it is possible for users to modulate EEG signals in a single trial by the conscious direction of attention, well enough to be useful in BCI.

PDF Web DOI [BibTex]

2004

Hill, J., Lal, T., Bierig, K., Birbaumer, N., Schölkopf, B. Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface In BioCAS04, (S3/5/INV- S3/17-20):4, IEEE Computer Society, Los Alamitos, CA, USA, 2004 IEEE International Workshop on Biomedical Circuits and Systems, December 2004 (inproceedings)

PDF Web DOI [BibTex]

Karin Bierig
Research Technician

2005

An Auditory Paradigm for Brain-Computer Interfaces

2005

2004

Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface

2004

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Karin Bierig Research Technician

2005

An Auditory Paradigm for Brain-Computer Interfaces

2005

2004

Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface

2004

Latest News

Links

Contact Us

Karin Bierig
Research Technician