An open multi-center MEG-EEG dataset for studying conscious visual perception

Ling Liu, Oscar Ferrante, Tara Ghafari, Dorottya Hetenyi, Shujun Yang, Rony Hirschhorn, Urszula Gorska-Klimowska, Praveen Sripad, Fatemeh Taheriyan, Tanya Brown, Diptyajit Das, Kyle Kahraman, Niccolò Bonacchi, Michael Pitts, Liad Mudrik, Ole Jensen, Huan Luo, Lucia Melloni

Open source

DOI
10.1038/s41597-026-07350-9
Published
2026-05-29
Container
Scientific Data
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41597-026-07350-9,
  title = {An open multi-center MEG-EEG dataset for studying conscious visual perception},
  author = {Ling Liu and Oscar Ferrante and Tara Ghafari and Dorottya Hetenyi and Shujun Yang and Rony Hirschhorn and Urszula Gorska-Klimowska and Praveen Sripad and Fatemeh Taheriyan and Tanya Brown and Diptyajit Das and Kyle Kahraman and Niccolò Bonacchi and Michael Pitts and Liad Mudrik and Ole Jensen and Huan Luo and Lucia Melloni},
  year = {2026},
  journal = {Scientific Data},
  doi = {10.1038/s41597-026-07350-9},
  url = {https://doi.org/10.1038/s41597-026-07350-9}
}

RIS

TY  - JOUR
TI  - An open multi-center MEG-EEG dataset for studying conscious visual perception
AU  - Ling Liu
AU  - Oscar Ferrante
AU  - Tara Ghafari
AU  - Dorottya Hetenyi
AU  - Shujun Yang
AU  - Rony Hirschhorn
AU  - Urszula Gorska-Klimowska
AU  - Praveen Sripad
AU  - Fatemeh Taheriyan
AU  - Tanya Brown
AU  - Diptyajit Das
AU  - Kyle Kahraman
AU  - Niccolò Bonacchi
AU  - Michael Pitts
AU  - Liad Mudrik
AU  - Ole Jensen
AU  - Huan Luo
AU  - Lucia Melloni
PY  - 2026
JO  - Scientific Data
DO  - 10.1038/s41597-026-07350-9
UR  - https://doi.org/10.1038/s41597-026-07350-9
ER  - 

APA

Liu, L., Ferrante, O., Ghafari, T., Hetenyi, D., Yang, S., Hirschhorn, R., Gorska-Klimowska, U., Sripad, P., Taheriyan, F., Brown, T., Das, D., Kahraman, K., Bonacchi, N., Pitts, M., Mudrik, L., Jensen, O., Luo, H., & Melloni, L. (2026). An open multi-center MEG-EEG dataset for studying conscious visual perception. Scientific Data. https://doi.org/10.1038/s41597-026-07350-9

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