A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm-Reference-Cited by-同舟云学术

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A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Frank Gwenevere¹,Makeig Scott²,Delorme Arnaud³

Affiliation:

1. University of California San Diego,Electrical and Computer Engineering,La Jolla,USA

2. Institute for Neural Computation, University of California San Diego,La Jolla,USA

3. Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego,La Jolla,USA

Funder

National Institute of Neurological Disorders and Stroke

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09994862.pdf?arnumber=9994862

Reference15 articles.

1. The brain wave equation: a model for the EEG

2. The brainweb: Phase synchronization and large-scale integration

3. The fractions of short- and long-range connections in the visual cortex

4. Lateral Connectivity and Contextual Interactions in Macaque Primary Visual Cortex

5. Thalamocortical theta coherence in neurological patients at rest and during a working memory task

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