Spatiotemporal Independent Component Analysis of Event-Related fMRI Data Using Skewed Probability Density Functions
- 1 February 2002
- journal article
- Published by Elsevier in NeuroImage
- Vol. 15 (2) , 407-421
- https://doi.org/10.1006/nimg.2001.0986
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Blind Source Separation Using Temporal PredictabilityNeural Computation, 2001
- Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveformsHuman Brain Mapping, 2001
- Detection of Consistently Task-Related Activations in fMRI Data with Hybrid Independent Component AnalysisNeuroImage, 2000
- Artifact reduction in magnetoneurography based on time-delayed second-order correlationsIEEE Transactions on Biomedical Engineering, 2000
- On the Stability of Source Separation AlgorithmsJournal of Signal Processing Systems, 2000
- Blind Source Separation of Multiple Signal Sources of fMRI Data Sets Using Independent Component AnalysisJournal of Computer Assisted Tomography, 1999
- Spatially independent activity patterns in functional MRI data during the Stroop color-naming taskProceedings of the National Academy of Sciences, 1998
- Blind separation of auditory event-related brain responses into independent componentsProceedings of the National Academy of Sciences, 1997
- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995