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Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features.

, , , , , , , , , , and . IEEE Trans. Multim., 15 (5): 1060-1069 (2013)

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Differential Effects of Trait Empathy on Functional Network Centrality., , , , and . BI, volume 12241 of Lecture Notes in Computer Science, page 107-117. Springer, (2020)Music cognition: Bridging computation and insights from cognitive neuroscience., , , , , , and . CogSci, cognitivesciencesociety.org, (2013)Predicting Individual Differences from Brain Responses to Music: A Comparison of Functional Connectivity Measures., , and . BI, volume 13974 of Lecture Notes in Computer Science, page 191-202. Springer, (2023)Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition., , , , , , and . ISNN, volume 10878 of Lecture Notes in Computer Science, page 789-799. Springer, (2018)Classification of Musical Metre with Autocorrelation and Discriminant Functions., and . ISMIR, page 351-357. (2005)From Vivaldi to Beatles and back: Predicting lateralized brain responses to music., , , , , , , and . NeuroImage, (2013)The chronnectome of musical beat., , , , and . NeuroImage, (2020)The role of accent periodicities in meter induction: a classificatin study, and . The Proceedings of the Eighth International Conference on Music Perception and Cognition (ICMPC8), Adelaide, Australia, Causal Productions, (2004)Cross-cultural music cognition: cognitive methodology applied to North Sami yoiks, , , , and . Cognition, 76 (1): 13--58 (July 2000)Symbolic AI versus Connectionism in Music Research.. Readings in Music and Artificial Intelligence, Harwood Academic publishers, (2000)