Constrained linear basis sets for HRF modelling using Variational Bayes.
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...
Main Authors: | Woolrich, M, Behrens, T, Smith, S |
---|---|
Format: | Journal article |
Language: | English |
Published: |
2004
|
Similar Items
-
Variational Bayes inference of spatial mixture models for segmentation.
by: Woolrich, M, et al.
Published: (2006) -
The FMRIB variational Bayes tutorial: Variational Bayesian inference for a non-linear forward model
by: Chappell, M, et al.
Published: (2016) -
Efficacy of HRF in COD Removal from Secondary Effluent of Yasuj Municipal Wastewater
by: M Ehteshami, et al.
Published: (2011-10-01) -
State of the art em imuno-alergologia: os factores libertadores da histamina (HRF).
by: A G Carlos
Published: (1989-12-01) -
Study and Optimization of Ethanol (LRF) Juliflora Biodiesel (HRF) Fuelled RCCI Engine with and without EGR System
by: Manivannan Ramachandran, et al.
Published: (2024-01-01)