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Tuomas Puoliväli
Tuomas Puoliväli
Faculty of Information Technology, University of Jyväskylä
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Hyperedge bundling: A practical solution to spurious interactions in MEG/EEG source connectivity analyses
SH Wang, M Lobier, F Siebenhuhner, T Puoliväli, S Palva, JM Palva
NeuroImage, 2018
752018
Action in perception: prominent visuo-motor functional symmetry in musicians during music listening
I Burunat, E Brattico, T Puoliväli, T Ristaniemi, M Sams, P Toiviainen
PloS one 10 (9), e0138238, 2015
712015
Neuroanatomical substrate of noise sensitivity
M Kliuchko, T Puoliväli, M Heinonen-Guzejev, M Tervaniemi, P Toiviainen, ...
NeuroImage, 2017
412017
Influence of multiple hypothesis testing on reproducibility in neuroimaging research: a simulation study and Python-based software
T Puoliväli, S Palva, JM Palva
Journal of neuroscience methods 337, 108654, 2020
342020
Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis
F Cong, T Puoliväli, V Alluri, T Sipola, I Burunat, P Toiviainen, AK Nandi, ...
Journal of neuroscience methods 223, 74-84, 2014
342014
EEGManyPipelines: A Large-scale, Grassroot Multi-analyst Study of EEG Analysis Practices in the Wild
D Trübutschek, YF Yang, C Gianelli, E Cesnaite, NL Fischer, MC Vinding, ...
Journal of Cognitive Neuroscience, 1-8, 2023
132023
Semi-blind independent component analysis of functional MRI elicited by continuous listening to music
T Puoliväli, F Cong, V Alluri, QH Lin, P Toiviainen, AK Nandi, E Brattico, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
52013
EEGManyPipelines: Robustness of EEG results across analysis pipelines
J Algermissen, N Busch, E Cesnaite, NL Fischer, C Gianelli, J Koen, ...
OSF, 2022
42022
Hyperedge bundling: Data, source code, and precautions to modeling-accuracy bias to synchrony estimates
SH Wang, M Lobier, F Siebenhühner, T Puoliväli, S Palva, JM Palva
Data in Brief 18, 262-275, 2018
22018
Influence of multiple hypothesis testing on reproducibility in neuroimaging research
T Puoliväli, S Palva, JM Palva
BioRxiv, 2019
12019
Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis.
V Tsatsishvili, F Cong, T Puoliväli, V Alluri, P Toiviainen, AK Nandi, ...
ESANN, 2013
12013
Systematic spatial independent component analysis to decompose individual fMRI activity during continuous listening to music
F Cong, E Brattico, V Alluri, T Puolivali, P Toiviainen, AK Nandi, ...
Neuroinformatics, 2013
12013
Musicianship can be decoded from magnetic resonance images
T Puoliväli, T Sipola, A Thiede, M Kliuchko, B Bogert, P Toiviainen, ...
BioRxiv, 2021
2021
Bi-stability in the critical human brain
SH Wang, T Puoliväli, G Arnulfo, F Siebenhühner, L Nobili, S Palva, ...
2019
Neuroanatomical correlates of noise sensitivity
M Kliuchko, T Puoliväli, M Heinonen-Guzejev, M Tervaniemi, P Toiviainen, ...
8th Mind Brain Body Symposium, 2018
2018
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