Conference item
Bayesian Gaussian process classification from event-related brain potentials in Alzheimer’s disease
- Abstract:
-
Event-related potentials (ERPs) have been shown to reflect neurodegenerative processes in Alzheimer’s disease (AD) and might qualify as non-invasive and cost-effective markers to facilitate the objectivization of AD assessment in daily clinical practice. Lately, the combination of multivariate pattern analysis (MVPA) and Gaussian process classification (GPC) has gained interest in the neuroscientific community. Here, we demonstrate how a MVPAGPC approach can be applied to electrophysiological...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 243.1KB)
-
- Publisher copy:
- 10.1007/978-3-319-59758-4_7
Authors
Funding
Drbal GmbH
More from this funder
Dr. Grossegger
More from this funder
Austrian Research Promotion Agency
More from this funder
Bibliographic Details
- Publisher:
- Springer* Publisher's website
- Host title:
- 16th Conference on Artificial Intelligence in Medicine (AIME 2017)
- Journal:
- 16th Conference on Artificial Intelligence in Medicine (AIME 2017) Journal website
- Publication date:
- 2017-05-01
- Acceptance date:
- 2017-03-13
- DOI:
Item Description
- Keywords:
- Pubs id:
-
pubs:820221
- UUID:
-
uuid:364b0a7e-e659-4ec8-875e-64a074637782
- Local pid:
- pubs:820221
- Source identifiers:
-
820221
- Deposit date:
- 2018-01-17
Terms of use
- Copyright holder:
- Springer International Publishing
- Copyright date:
- 2017
- Notes:
- © Springer International Publishing AG 2017
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record