Petri Toiviainen
Orcid: 0000-0001-6962-2957
According to our database1,
Petri Toiviainen
authored at least 36 papers
between 1996 and 2024.
Collaborative distances:
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Timeline
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Bibliography
2024
CoRR, 2024
2023
Postural and Gestural Synchronization, Sequential Imitation, and Mirroring Predict Perceived Coupling of Dancing Dyads.
Cogn. Sci., April, 2023
Predicting Individual Differences from Brain Responses to Music: A Comparison of Functional Connectivity Measures.
Proceedings of the Brain Informatics - 16th International Conference, 2023
2021
Response to Discussion on Y. Zhu, X. Wang, K. Mathiak, P. Toiviainen, T. Ristaniemi, J. Xu, Y. Chang and F. Cong, Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression, International Journal of Neural Systems, Vol. 31 No. 3 (2021).
Int. J. Neural Syst., 2021
Int. J. Neural Syst., 2021
2020
Towards Multimodal MIR: Predicting individual differences from music-induced movement.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the Brain Informatics - 13th International Conference, 2020
Proceedings of the Brain Informatics - 13th International Conference, 2020
2019
Proceedings of the Brain Informatics - 12th International Conference, 2019
2018
Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
2016
The reliability of continuous brain responses during naturalistic listening to music.
NeuroImage, 2016
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2015
Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Capturing the musical brain with Lasso: Dynamic decoding of musical features from fMRI data.
NeuroImage, 2014
Generation of stimulus features for analysis of FMRI during natural auditory experiences.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features.
IEEE Trans. Multim., 2013
NeuroImage, 2013
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Semi-blind independent component analysis of functional MRI elicited by continuous listening to music.
Proceedings of the IEEE International Conference on Acoustics, 2013
Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
2012
Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm.
NeuroImage, 2012
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization.
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the Cambridge Companion to Electronic Music., 2012
2009
Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009
2008
Proceedings of the ISMIR 2008, 2008
2007
Proceedings of the 8th International Conference on Music Information Retrieval, 2007
Proceedings of the Data Analysis, Machine Learning and Applications, 2007
2005
Visualization of tonal content with self-organizing maps and self-similarity matrices.
Comput. Entertain., 2005
Proceedings of the ISMIR 2005, 2005
2004
2000
Symbolic AI versus Connectionism in Music Research.
Proceedings of the Readings in Music and Artificial Intelligence, 2000
1996
Proceedings of the Music, Gestalt, and Computing, 1996