Complex independent component analysis of frequency-domain electroencephalographic data-Reference-Cited by-同舟云学术

Complex independent component analysis of frequency-domain electroencephalographic data

Published:2003-11 Issue:9 Volume:16 Page:1311-1323
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Anemüller Jörn,Sejnowski Terrence J.,Makeig Scott

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference26 articles.

1. A new learning algorithm for blind signal separation;Amari,1996

2. Anemüller, J. (2001). Across-Frequency processing in convolutive blind source separation. PhD thesis, Department of Physics, University of Oldenburg, Oldenburg, Germany. http://medi.uni-oldenburg.de/members/ane.

3. Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach;Anemüller;Speech Communication,2003

4. Dynamics of ongoing activity: Explanation of the large variability in evoked cortical responses;Arieli;Science,1996

5. An information maximization approach to blind separation and blind deconvolution;Bell;Neural Computation,1995

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