Oscar Woolnough

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Transfer learning via distributed brain recordings enables reliable speech decoding - Nature Communications Speech brain-computer interfaces face challenges scaling across individuals with different brain organization. Using minimally invasive recordings from 25 patients, the authors developed transfer learning methods that enable robust speech decoding even with incomplete brain coverage.

New Paper in Nature Communications!

We present exciting work on applying transfer learning on minimally invasive recordings to build scalable speech BCI for a more heterogeneous population. #iEEG #neuroskyence

Check it out : www.nature.com/articles/s41...

🚨 New paper in Nature Methods:
HippoMaps: multiscale cartography of the human hippocampus

Open-source tools & data to explore structure and function of the 🍤🧠 (histology, in/ex vivo MRI, iEEG)

Led by @jordandekraker.bsky.social

docs: hippomaps.readthedocs.io
paper: doi.org/10.1038/s415...

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Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants - Nature Biomedical Engineering A modularized open-source pipeline for invasive brain signal decoding bridges the gap between closed-loop neuromodulation and clinical brain–computer interface approaches in a large patient cohort.

New paper in Nature Biomedical Engineering by @timonmerk.bsky.social !

We built a platform that unites AI-based brain signal decoding with connectomics across 123 hours of recordings from 73 patients. A step toward adaptive, network-level neurotechnology.

www.nature.com/articles/s41...

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Very nice work. Think it would work on pseudowords as well?
bsky.app/profile/owoo...

Representational magnitude as a geometric signature of image and word memorability What makes some stimuli more memorable than others? While memory varies across individuals, research shows that some items are intrinsically more memorable, a property quantifiable as “memorability”. ...

New preprint out together with @mheilbron.bsky.social

We find that a stimulus' representational magnitude—the L2 norm of its DNN representation—predicts intrinsic memorability not just for images, but for words too.
www.biorxiv.org/content/10.1...

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