Empirical Inference
Article
2010
A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller
There is a strong tendency towards discriminative approaches in brain-computer interface (BCI) research. We argue that generative model-based approaches are worth pursuing and propose a simple generative model for the visual ERP-based BCI speller which incorporates prior knowledge about the brain signals. We show that the proposed generative method needs less training data to reach a given letter prediction performance than the state of the art discriminative approaches.
| Author(s): | Martens, SMM. and Leiva, JM. |
| Journal: | Journal of Neural Engineering |
| Volume: | 7 |
| Number (issue): | 2 |
| Pages: | 1-10 |
| Year: | 2010 |
| Month: | April |
| Day: | 0 |
| Bibtex Type: | Article (article) |
| DOI: | 10.1088/1741-2560/7/2/026003 |
| Digital: | 0 |
| Electronic Archiving: | grant_archive |
| EPUB: | 026003 |
| Language: | en |
| Organization: | Max-Planck-Gesellschaft |
| School: | Biologische Kybernetik |
| Links: | |
BibTex
@article{6262,
title = {A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller},
journal = {Journal of Neural Engineering},
abstract = {There is a strong tendency towards discriminative approaches in brain-computer interface (BCI) research. We argue that generative model-based approaches are worth pursuing and propose a simple generative model for the visual ERP-based BCI speller which incorporates prior knowledge about the brain signals. We show that the proposed generative method needs less training data to reach a given letter prediction performance than the state of the art discriminative approaches.},
volume = {7},
number = {2},
pages = {1-10},
organization = {Max-Planck-Gesellschaft},
school = {Biologische Kybernetik},
month = apr,
year = {2010},
slug = {6262},
author = {Martens, SMM. and Leiva, JM.},
month_numeric = {4}
}