iiinova — where your digital self keeps evolving

Reposted by Victor Férat

Sophie Slaats @sophieslaats.bsky.social · 22/07/2026

new preprint! 🥳 we investigated the encoding of syntax and probability in cortical activity recorded with ECoG 🧠, and, it turns out: high-frequency cortical activity represents both features - side-by-side 🙌, and in interaction 🤝. www.biorxiv.org/content/10.6... (thread to follow soon)

An image depicting the left hemisphere of the fsaverage brain three times; the top row shows the lateral view (three times), the bottom-row shows their medial view (three times). The left-most projection displays the 106 electrodes that encode syntactic information. The electrodes are widely distributed across the left hemisphere, with clusters in the anterior temporal lobe and the posterior temporal lobe/temporo-parietal junction, but also in the prefrontal cortex. The middle projection displays the 185 electrodes that encode lexical probabilistic information. There is a cluster of electrodes along the length of the superior temporal gyrus, and one in the inferior frontal gyrus. There are also electrodes in other areas of the cortex. The rightmost projection shows the 124 electrodes that encode both features. There are clusters in the superior- and middle temporal gyri, and also in the inferior frontal gyrus. There are also electrodes in other areas of the cortex.

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Victor Férat @vferat.bsky.social · 12/04/2026

Depends if you do hypothesis driven research or explorative. I don't see any reason to change the hypothesis driven ones. But it could be interesting to have a succession of [methods + results] sections for the explorative ones

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Victor Férat @vferat.bsky.social · 08/04/2026

Also, are the timings of the different streams synchronised automatically?

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Victor Férat @vferat.bsky.social · 08/04/2026

Thanks for the work @benediktehinger.bsky.social ! After a quick look, I find that the documentation would benefit from more details about the configuration file. Is it possible to automatically export events (events.tsv) ? Does it also handles other neurophysiological recordings ?

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Reposted by Victor Férat

Gabriel Weindel @gweindel.bsky.social · 24/03/2026

OK folks, this is a very convincing EEG artifact rejection method both theoretically and practically from my short experience. It's the only method I tried that gets rid of pervasive artifacts in a dataset I'm currently analyzing!

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Reposted by Victor Férat

Sophie Slaats @sophieslaats.bsky.social · 16/02/2026

Help my student @th-maya.bsky.social out by participating in her study if... - your native language is English, French, or German 🐣 - you speak *any level* of the other two languages (classes at school count! 👩‍🏫)

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Victor Férat @vferat.bsky.social · 04/02/2026

Then thanks to the EEG recording, they can characterize the epilepsy and/or try to find which area of you brain is at the origin of the crisis.

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Victor Férat @vferat.bsky.social · 04/02/2026

Hello Matthew, I can tell you that it is not possible to induce epilepsy crisis with EEG. It can only monitor your brain. However, if one has epilepsy, people might want to induce an epileptic crisis by other means ( drug, stimuli, ect) in order to record brain activity during such events.

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Victor Férat @vferat.bsky.social · 08/01/2026

You can install and try it via PyPI: 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐠𝐞𝐝𝐚𝐢 This is our initial release, so feedback is very welcome. If you run into issues, feel free to reach out here or open an issue on #GitHub. All contributions are welcome and will be acknowledged accordingly.

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Victor Férat @vferat.bsky.social · 08/01/2026

GEDAI integrates seamlessly into the MNE-python pipeline and offers a new approach for handling artifacts in #EEG / #MEG data. A key difference from the MATLAB implementation is that the #Python version can also be easily used for real-time artifact correction !

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Victor Férat @vferat.bsky.social · 08/01/2026

Happy to share that our #Python implementation of GEDAI (Generalized Eigenvalue De-Artifacting Instrument) is now available 🐍 💻 🧠 neurotuning.github.io/gedai/dev/in...

neurotuning.github.io

GEDAI — gedai

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Victor Férat @vferat.bsky.social · 11/11/2025

I don't know if it improves the quality of the thesis, but it helped me move forward.

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Victor Férat @vferat.bsky.social · 11/11/2025

From my point of view, this is the most difficult part of science... For my thesis, I made a very detailed plan (almost to the point where each sub-section was a sentence). Then I wrote a few sub-sections every day. This allowed me to quantify my progress and have clear small goals.

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Jonathan Wirsich @jwirsich.bsky.social · 18/08/2025

Interested in Epileptic Discharges? In need of a data set to validate your source reconstruction models based on clinical outcome? Check out our newest: www.nature.com/articles/s41... Big thanks to B. Vorderwülbecke, S. Vuillémoz et al. ! - @seeber.bsky.social @cibm.bsky.social

nature.com

High-Density EEG Source Localisation of averaged interictal epileptic Discharges validated by surgical Outcome - Scientific Data

Scientific Data - High-Density EEG Source Localisation of averaged interictal epileptic Discharges validated by surgical Outcome

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Victor Férat @vferat.bsky.social · 19/05/2025

Any way to save these settings so that they are loaded by default when importing matplotlib ?

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Victor Férat @vferat.bsky.social · 18/04/2025

Also, about the splitting, what's the rationale for using the first 15 participants versus a random sample of 15? A random split would be more robust and reduce potential biases.

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Victor Férat @vferat.bsky.social · 18/04/2025

It’s always a good idea to share your analysis and to track changes, but as a reviewer, I wouldn’t necessarily take it as definitive proof of a "replication" analysis. In principle, anyone could analyze the full dataset offline and simply say they didn’t by publishing the part of the code they want

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Victor Férat @vferat.bsky.social · 20/02/2025

Great resources! Thanks a lot for the time and energy put into this!

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Reposted by Victor Férat

Olaf Hauk @olafhauk.bsky.social · 20/02/2025

I put some introductory #EEG / #MEG videos together, based on our introduction to #neuroimaging at the @mrccbu.bsky.social : youtube.com/playlist?lis.... They should cover the most common aspects of EEG/MEG analysis, including pre-processing, source estimation and functional connectivity.

youtube.com

Introduction to EEG/MEG data analysis - YouTube

Introduction to EEG/MEG data analysis playlist featuring multiple videos split into topics set out below. Presented by Olaf Hauk from the MRC CBU. EEG/MEG me...

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Victor Férat @vferat.bsky.social · 11/02/2025

+ they ask us to subscribe to mailing list in the process 🙃

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Victor Férat @vferat.bsky.social · 07/02/2025

On my side: Reviewer Assignment since September 13th

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Victor Férat @vferat.bsky.social · 29/01/2025

To demystify things, she doesn't control her computer with EEG (i.e. signal coming from the brain). She simply contracts her jaw muscles. These muscles create a much stronger electrical signal (EMG) than the one generated by the brain. The algorithm therefore detects only the muscle contractions.

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Victor Férat @vferat.bsky.social · 24/01/2025

228 healthy participants with Raw and preprocessed EEG recordings ( + MRI, behavior, phenotype) fcon_1000.projects.nitrc.org/indi/retro/M...

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Reposted by Victor Férat

Alessandro Crimi @alecrimi.bsky.social · 03/12/2024

New #brain modality: #EEG on scalp 😊 Temporary tattoo printed directly on the scalp offers easy, hair-friendly solution for measuring brainwaves www.cell.com/cell-biomate...

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Reposted by Victor Férat

Open Neuroscience @open-neuroscience.com · 27/11/2024

#neuroskyence and #openscience folks! We have starter pack putting together the intersection if these two groups, have a look, subscribe, and if you want to be added, reply to this or send us a DM! go.bsky.app/NUfsakW

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