22 Nov 2025
Tüm gece emotiv epoc x ile eeg sinyallerini toplayıp işlemeye çalıştım. Braindecode ve TorchEEG ai modellerine vererek anlamlandırmak/işlemek için dataset oluşturmaya çalıştım. Openbci gibi daha rahat oyun alanına sahip bir cihaz uzmanlaşınca gerekecek gibi 🙏🏻
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9 Sep 2024
@BAristimunha from @UnivParisSaclay introduced #braindecode to decode raw electrophysiological brain data with deep learning models
👉 braindecode.org/stable/index… [3/6]
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9 Sep 2024
Now it's time for @BAristimunha! Presenting #BrainDecode, bridging the gap between #DeepLearning and #BCI 🧠⚡
github.com/braindecode
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10 Dec 2023
I am at #NeurIPS2023 from 10-18 Dec!
Please reach out if you'd like to chat about brain decoding, BCI, transfer learning and diffusion models.
I have free braindecode stickers for everyone interested ;)
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30 Nov 2023
The new Braindecode version is out! This version resulted from a wonderful code sprint that @tomamoral, @robintibor, @agramfort, @dngman, @sylvcheva, and I organized last summer! the regular contributions received on our library :)
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21 Jun 2023
Braindecode is a #Python toolbox for decoding raw electrophysiological brain data with deep learning models. The tutorials are great for anyone who wants to dive in!
@agramfort @robintibor @BAristimunha @KEggensperger @FrankRHutter @wolfram_burgard #neuroscience #OpenScience
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23 May 2023
A special thanks to @InstitutDATAIA for funding me to do research with open-source! And @ccrommel and @agramfort for making the bridge with MOABB and braindecode!
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23 May 2023
We support deep learning models with two different back-ends!
We've implemented models for the MOABB with the @TensorFlow back-end and built a wrapper for the models available in braindecode (@PyTorch)!
Models full compatible with @scikit_learn!
Thanks @IgorCarrara and me!
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We manipulated pupil size, attention, and target intensity in a spatial cuing task. All of these factors, as well as spontaneous pupil fluctuations, could be decoded from (and thus affected) EEG responses around target presentation (props to the #braindecode toolbox) 2/4
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18 Nov 2022
✨More results in our preprint!!✨
👉bit.ly/3UOuEwz
& code: bit.ly/3UQPcEB
All augmentations studied are available on the @scikit_learn-compatible Braindecode library! You can check-out the super tutorial made by @BAristimunha on this! bit.ly/3EdsD5O
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19 Oct 2022
New Braindecode release !! 🎉
If you are interested in deep learning and neuroscience, you should definitely try braindecode!!
18 Oct 2022
The new Braindecode version is out!
We are proud to announce this new release of the Braindecode, version number 0.7, core dev: @agramfort, @robintibor, @cedricrommel, @sliwowskim, Lukas Gemein and me!
braindecode.org
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18 Oct 2022
Hi @lukesjulson!
Good question! I don't know anyone who is using it in real-time. However, I don't see limitations for not using braindecode. I think you would just need to train and predict, matching some decoding task that you are interested in.
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18 Oct 2022
Introducing "braindecode", an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models.
@BAristimunha
@agramfort
@robintibor
@cedricrommel
@sliwowskim
braindecode.org/stable/index…
A great site for neuroscientists who want to work with
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18 Oct 2022
New release of Braindecode !
👉 Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models.” (i.e. MEG/EEG/iEEG)
Check it out!
👇👇
18 Oct 2022
The new Braindecode version is out!
We are proud to announce this new release of the Braindecode, version number 0.7, core dev: @agramfort, @robintibor, @cedricrommel, @sliwowskim, Lukas Gemein and me!
braindecode.org
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18 Oct 2022
I'm particularly happy to announce this new change to braindecode, as I'm involved in a lot of the new library features =)
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18 Oct 2022
Braindecode is also a good library for deep learning researchers who want to work with neurophysiological data. It includes dataset fetchers, data preprocessing and visualization tools, as well as implementations of several deep learning architectures and data augmentations.
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18 Oct 2022
Braindecode tries to have a friendly interface to those unfamiliar with the complex deep-learning frameworks. By relying on the skorch library, braindecode allows you to seamlessly train and use your models with the simple fit and predict API’s, justlike in @scikit_learn.
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18 Oct 2022
Braindecode is compatible with several file formats thanks to MNE, @mne_python and NumPy arrays, @numpy_team. You can use your raw or epoched data and build a simple script to decode a domain-specific task.
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18 Oct 2022
such as pathology detection, task decoding, brain-computer interface, brain age estimation, epilepsy detection, among others. If you have an electrophysiological dataset and want to analyze it with state-of-art deep learning models, braindecode is the right tool for you!
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18 Oct 2022
If you're a neuroscientist who wants to use deep learning to process raw electrophysiological brain signals, braindecode is the right library for you! It is an open-source Python toolbox focused on decoding and has been used in many contexts ( )
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