@inproceedings{403c642543b14e779cfcb65b28efe683,
title = "ICA-based EEG spatio-temporal dipole source localization: A model study",
abstract = "In this paper, we examine the performance of an Independent Component Analysis (ICA) based dipole localization approach to localize multiple source dipoles under noisy environment. Uncorrelated noise of up to 40% was added to scalp EEG signals. The performance of the ICA-based algorithm is compared with the conventional localization procedure using Simplex method. The present simulation results indicate the robustness of the ICA-based approach in localizing multiple dipoles of independent sources.",
author = "Ling Zou and Zhu, {Shan An} and Bin He",
year = "2006",
doi = "10.1007/11760191_83",
language = "English (US)",
isbn = "3540344829",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "566--572",
booktitle = "Advances in Neural Networks - ISNN 2006",
note = "3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks ; Conference date: 28-05-2006 Through 01-06-2006",
}