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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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 · 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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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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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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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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