A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition-Reference-Cited by-同舟云学术

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A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition

Published:2017-06-07 Issue: Volume:11 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Deshpande Gopikrishna,Rangaprakash D.,Oeding Luke,Cichocki Andrzej,Hu Xiaoping P.

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference99 articles.

1. A tensor approach to learning mixed membership community models;Anandkumar;J. Mach. Learn. Res.,2014

2. BaderB. W. KoldaT. G. MATLAB Tensor Toolbox Version 2.62015

3. Fast, variation-based methods for the analysis of extended brain sources;Becker,2014

4. Investigations into resting-state connectivity using independent component analysis;Beckman;Philos. Trans. R. Soc. Lond. B. Biol. Sci.,2005

5. Tensorial extensions of independent component analysis for multisubject FMRI analysis;Beckmann;Neuroimage,2005

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