Petri Toiviainen

Orcid: 0000-0001-6962-2957

According to our database1, Petri Toiviainen authored at least 35 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

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

Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression.
Int. J. Neural Syst., 2021

2020
The chronnectome of musical beat.
NeuroImage, 2020

Towards Multimodal MIR: Predicting individual differences from music-induced movement.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Differential Effects of Trait Empathy on Functional Network Centrality.
Proceedings of the Brain Informatics - 13th International Conference, 2020

Dynamic Functional Connectivity Captures Individuals' Unique Brain Signatures.
Proceedings of the Brain Informatics - 13th International Conference, 2020

2019
Dynamic Functional Connectivity in the Musical Brain.
Proceedings of the Brain Informatics - 12th International Conference, 2019

2018
Neuroanatomical substrate of noise sensitivity.
NeuroImage, 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

From Vivaldi to Beatles and back: Predicting lateralized brain responses to music.
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

Music cognition: Bridging computation and insights from cognitive neuroscience.
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

The psychology of electronic music.
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
Multi-Feature Modeling of Pulse Clarity: Design, Validation and Optimization.
Proceedings of the ISMIR 2008, 2008

2007
Music cognition research amidst the boreal forest.
Cogn. Process., 2007

MIR in Matlab (II): A Toolbox for Musical Feature Extraction from Audio.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

A Matlab Toolbox for Music Information Retrieval.
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

Classification of Musical Metre with Autocorrelation and Discriminant Functions.
Proceedings of the ISMIR 2005, 2005

2004
MIR In Matlab: The MIDI Toolbox.
Proceedings of the ISMIR 2004, 2004

2000
Symbolic AI versus Connectionism in Music Research.
Proceedings of the Readings in Music and Artificial Intelligence, 2000

1996
Optimizing Self-Organizing Timbre Maps: Two Approaches.
Proceedings of the Music, Gestalt, and Computing, 1996


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