19 search results - page 1 / 4 » Kernel methods for fMRI pattern prediction |
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
NIPS
2007
13 years 6 months ago
2007
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
AIME
2007
Springer
13 years 11 months ago
2007
Springer
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
COGSCI
2008
13 years 4 months ago
2008
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...