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ZENODO
Software . 2025
License: http://opensource.org/licenses/BSD-3-Clause
Data sources: ZENODO
ZENODO
Software . 2025
License: https://opensource.org/licenses/BSD-3-Clause
Data sources: Datacite
ZENODO
Software . 2025
License: https://opensource.org/licenses/BSD-3-Clause
Data sources: Datacite
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Braindecode: toolbox for decoding raw electrophysiological brain data with deep learning models

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Dec 2025Publisher:Zenodo
Authors: Aristimunha, Bruno; Guetshel, Pierre; Wimpff, Martin; Gemein, Lukas; Rommel, Cedric; Banville, Hubert; Sliwowski, Maciej; +10 Authors
Code repository: https://github.com/braindecode/braindecode/tree/v1.2.0

doi: 10.5281/zenodo.8214376 , 10.5281/zenodo.17699192

Braindecode: toolbox for decoding raw electrophysiological brain data with deep learning models

Abstract

Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models. It includes dataset fetchers, data preprocessing and visualization tools, as well as implementations of several deep learning architectures and data augmentations for analysis of EEG, ECoG and MEG.

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Keywords

foundation model, magnetoencephalography, neuroimaging, meg, ieeg, brain-computer interface, deep learning, neuroscience, python, machine learning, bci, eeg, mne, electroencephalography

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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