54 search results - page 3 / 11 » A sparse variational Bayesian approach for fMRI data analysi... |
ICASSP
2007
IEEE
14 years 3 days ago
2007
IEEE
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
CSDA
2008
13 years 5 months ago
2008
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
BRAIN
2010
Springer
13 years 4 months ago
2010
Springer
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...