Sciweavers

3054 search results - page 17 / 611
» An fMRI Activation Method Using Complex Data
Sort
View
116
Voted
EDM
2010
160views Data Mining» more  EDM 2010»
15 years 3 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
COMPIMAGE
2010
Springer
15 years 9 months ago
Surface-Based Imaging Methods for High-Resolution Functional Magnetic Resonance Imaging
Functional magnetic resonance imaging (fMRI) has become an exceedingly popular technique for studies of human brain activity. Typically, fMRI is performed with >3-mm sampling, s...
David Ress, Sankari Dhandapani, Sucharit Katyal, C...
108
Voted
ICASSP
2007
IEEE
15 years 8 months ago
Local Linear Discriminant Analysis (LLDA) for Inference of Multisubject FMRI Data
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
Martin J. McKeown, Junning Li, Xuemei Huang, Z. Ja...
CORR
2011
Springer
150views Education» more  CORR 2011»
14 years 9 months ago
Total variation regularization for fMRI-based prediction of behaviour
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
BC
2007
113views more  BC 2007»
15 years 2 months ago
Akaike causality in state space
We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...
Kin Foon Kevin Wong, Tohru Ozaki