Journal article icon

Journal article

Constrained linear basis sets for HRF modelling using Variational Bayes.

Abstract:

FMRI modelling requires flexible haemodynamic response function (HRF) modelling, with the HRF being allowed to vary spatially and between subjects. To achieve this flexibility, voxelwise parameterised HRFs have been proposed; however, inference on such models is very slow. An alternative approach is to use basis functions allowing inference to proceed in the more manageable General Linear Model (GLM) framework. However, a large amount of the subspace spanned by the basis functions produces no...

Expand abstract
Publication status:
Published

Actions


Access Document


Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Psychiatry
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience, Experimental Psychology
Journal:
NeuroImage
Volume:
21
Issue:
4
Pages:
1748-1761
Publication date:
2004-04-05
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:bff75f52-3691-4279-be5f-bbdb28857919
Source identifiers:
30564
Local pid:
pubs:30564

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP