Abstract
In this short abstract I will discuss recent directions where deep learning is used for analysing brain imaging data, both in the context of BCI and fMRI-summarizing steps taken by the BBCI team and co-workers. It is the nature of this short text that many pointers to research are given all of which show a high overlap to prior own contributions (this is not only unavoidable but intentional) or will touch upon ongoing unpublished respectively pre-published work.
| Original language | English |
|---|---|
| Title of host publication | 7th International Winter Conference on Brain-Computer Interface, BCI 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538681169 |
| DOIs | |
| Publication status | Published - 2019 Feb 1 |
| Event | 7th International Winter Conference on Brain-Computer Interface, BCI 2019 - Gangwon, Korea, Republic of Duration: 2019 Feb 18 → 2019 Feb 20 |
Publication series
| Name | 7th International Winter Conference on Brain-Computer Interface, BCI 2019 |
|---|
Conference
| Conference | 7th International Winter Conference on Brain-Computer Interface, BCI 2019 |
|---|---|
| Country | Korea, Republic of |
| City | Gangwon |
| Period | 19/2/18 → 19/2/20 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Signal Processing
- Neuroscience (miscellaneous)
Cite this
Explainable Deep Learning for Analysing Brain Data. / Muller, Klaus.
7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8737321 (7th International Winter Conference on Brain-Computer Interface, BCI 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Explainable Deep Learning for Analysing Brain Data
AU - Muller, Klaus
PY - 2019/2/1
Y1 - 2019/2/1
N2 - In this short abstract I will discuss recent directions where deep learning is used for analysing brain imaging data, both in the context of BCI and fMRI-summarizing steps taken by the BBCI team and co-workers. It is the nature of this short text that many pointers to research are given all of which show a high overlap to prior own contributions (this is not only unavoidable but intentional) or will touch upon ongoing unpublished respectively pre-published work.
AB - In this short abstract I will discuss recent directions where deep learning is used for analysing brain imaging data, both in the context of BCI and fMRI-summarizing steps taken by the BBCI team and co-workers. It is the nature of this short text that many pointers to research are given all of which show a high overlap to prior own contributions (this is not only unavoidable but intentional) or will touch upon ongoing unpublished respectively pre-published work.
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U2 - 10.1109/IWW-BCI.2019.8737321
DO - 10.1109/IWW-BCI.2019.8737321
M3 - Conference contribution
AN - SCOPUS:85068345633
T3 - 7th International Winter Conference on Brain-Computer Interface, BCI 2019
BT - 7th International Winter Conference on Brain-Computer Interface, BCI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
ER -