Evaluating deep transfer learning for whole-brain cognitive decoding

Thomas, Armin W.; Lindenberger, Ulman; Samek, Wojciech; Müller, Klaus-Robert

doi:10.1016/j.jfranklin.2023.07.015

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Journal Article

Evaluating deep transfer learning for whole-brain cognitive decoding

MPS-Authors

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Thomas, Armin W.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;

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Lindenberger, Ulman
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

External Resource

https://doi.org/10.48550/arXiv.2111.01562
(Preprint)

https://github.com/athms/evaluating-deeplight-transfer
(Research data)

https://openneuro.org/datasets/ds002306
(Research data)

https://doi.org/10.1016/j.jfranklin.2023.07.015
(Publisher version)

https://github.com/VigneshSrinivasan10/interprettensor
(Research data)

https://db.humanconnectome.org/data/projects/HCP1200
(Research data)

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Supplementary Material (public)

1-s2.0-S0016003223004453-mmc1.pdf
(Supplementary material), 3MB

Citation

Thomas, A. W., Lindenberger, U., Samek, W., & Müller, K.-R. (2023). Evaluating deep transfer learning for whole-brain cognitive decoding. Journal of the Franklin Institute, 360(13), 9754-9787. doi:10.1016/j.jfranklin.2023.07.015.

Cite as: https://hdl.handle.net/21.11116/0000-0009-74EF-8

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