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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...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-59758-4_7

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
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Austrian Research Promotion Agency More from this funder
Dr. Grossegger More from this funder
Publisher:
Springer* Publisher's website
Journal:
16th Conference on Artificial Intelligence in Medicine (AIME 2017) Journal website
Host title:
16th Conference on Artificial Intelligence in Medicine (AIME 2017)
Publication date:
2017-05-01
Acceptance date:
2017-03-13
DOI:
Source identifiers:
820221
Keywords:
Pubs id:
pubs:820221
UUID:
uuid:364b0a7e-e659-4ec8-875e-64a074637782
Local pid:
pubs:820221
Deposit date:
2018-01-17

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