@article{d571eafbd4954a90bddab892ca601adb,
title = "Deriving Electrophysiological Brain Network Connectivity via Tensor Component Analysis During Freely Listening to Music",
keywords = "Tensor decomposition, frequency-specific brain connectivity, freely listening to music, oscillatory coherence, electroencephalography (EEG), RESTING-STATE NETWORKS, FUNCTIONAL CONNECTIVITY, DEFAULT MODE, EEG, DECOMPOSITION, SIGNAL, SIGNATURES, PATTERNS, LANGUAGE, CORTEX, 3112 Neurosciences",
author = "Yongjie Zhu and Jia Liu and Klaus Mathiak and Tapani Ristaniemi and Fengyu Cong",
year = "2020",
month = feb,
doi = "10.1109/TNSRE.2019.2953971",
language = "English",
volume = "28",
pages = "409--418",
journal = "IEEE Transactions on Neural Systems and Rehabilitation Engineering",
issn = "1534-4320",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "2",
}