| 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 | 86 | 2018 |
| 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 | 76 | 2015 |
| Neuroanatomical substrate of noise sensitivity M Kliuchko, T Puoliväli, M Heinonen-Guzejev, M Tervaniemi, P Toiviainen, ... NeuroImage, 2017 | 45 | 2017 |
| 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 | 42 | 2020 |
| 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 | 35 | 2014 |
| EEGManyPipelines: a large-scale, grassroots multi-analyst study of electroencephalography analysis practices in the wild D Trübutschek, YF Yang, C Gianelli, E Cesnaite, NL Fischer, MC Vinding, ... Journal of Cognitive Neuroscience 36 (2), 217-224, 2024 | 33 | 2024 |
| EEGManyPipelines: Robustness of EEG results across analysis pipelines J Algermissen, N Busch, E Cesnaite, NL Fischer, C Gianelli, J Koen, ... OSF, 2022 | 5 | 2022 |
| 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 | 5 | 2013 |
| 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 | 2 | 2018 |
| Musicianship can be decoded from magnetic resonance images T Puoliväli, T Sipola, A Thiede, M Kliuchko, B Bogert, P Toiviainen, ... BioRxiv, 2021 | 1 | 2021 |
| Influence of multiple hypothesis testing on reproducibility in neuroimaging research T Puoliväli, S Palva, JM Palva BioRxiv, 2019 | 1 | 2019 |
| 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 | 1 | 2013 |
| 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 | 1 | 2013 |
| The EEGManyPipelines Dataset: Metascientific Data on 168 Independent Analyses of a Single EEG Dataset E Cesnaite, A Pascarella, M Vinding, J Algermissen, N Fischer, T Puoliväli, ... OSF, 2025 | | 2025 |
| 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 |
Petri ToiviainenProfessor of MusicVerified email at jyu.fi
