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Our new preprint describes a multimodal intracortical brain-computer interface that a man with ALS has used at home, independently, almost every day for >19 months. It decodes both speech and cursor control to enable him to communicate and use his computer. Here’s a quick tour👇
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Nick Card retweeted
We’re hiring a Junior Specialist at UC Davis! 🧠🐑

Help us develop and validate new neural recording devices through cutting-edge research in large animal models (sheep) and humans.

Apply: recruit.ucdavis.edu/JPF07944
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Our new preprint describes an intracortical speech neuroprosthesis that generalizes across users, improving brain-to-text decoding accuracy for existing users by ~2x and enabling high-accuracy decoding for new users with minimal calibration data. biorxiv.org/content/10.648…
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Replying to @NS_Card
This work demonstrates that pooling intracortical speech data across users is effective for creating robust higher-accuracy speech decoders that generalize to new users with minimal calibration data. Read the preprint for more details: biorxiv.org/content/10.648…
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Replying to @NS_Card
This was a hugely collaborative project amongst several BrainGate sites and participants! Thanks to all, but especially to my co-first author Zachery Fogg and co-senior authors/mentors @DrDavidBrandman and @SergeyStavisky.
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Nick Card retweeted
Coverage of our speech BCI paper that came out today: 👇
A brain implant is helping a man with paralysis to communicate with his family and friends and to use his personal computer at home

go.nature.com/4ea0DDx
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This is now published in @NatureMedicine!

Check out this "behind the paper" blogpost, co-written by participant T15 and I, about how this paper came together and how he uses the BCI in his daily life: go.nature.com/3SgxMEZ
Our new preprint describes a multimodal intracortical brain-computer interface that a man with ALS has used at home, independently, almost every day for >19 months. It decodes both speech and cursor control to enable him to communicate and use his computer. Here’s a quick tour👇
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Replying to @NS_Card
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Nick Card retweeted
In the research world, Casey Harrell is known by subject name T-15. He’s become a test case, and a point of hope, for people afflicted with ALS to have their voice restored. sfchronicle.com/bayarea/articl…
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Nick Card retweeted
Want to work on intracortical speech and language brain-computer interfaces? We're hiring a Clinical Neurotechnology Research Assistant (CNRA)! Application link in next post. We'll start reviewing applicants after April 25th

Please RT 🔁
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Nick Card retweeted
We’re hiring: Research Lab Specialist in BCI research. Great fit for a recent BS/MS grad who is a go-getter, enjoys working with people, is flexible with travel/hours, and can start right away. Work includes recruitment, in-home BCI sessions, clinical/engineering research, and lab admin.

Apply: careers.umich.edu/job_detail/275…
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I'm really happy to see "brain-to-text" begin crossing over from academia to industry, helping more and more people communicate along the way! And I'm proud that I was able to contribute to this tech during my time at Neuralink.
ALS has gradually taken away Kenneth’s ability to speak. Through Neuralink’s VOICE clinical trial, he’s exploring how a brain-computer interface designed to translate thought to speech could help restore autonomy in his daily life.

Watch to learn more:
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Nick Card retweeted
Excited to introduce LightBeam, a CTC decoder for speech neuroprostheses that drastically cuts memory load while achieving state-of-the art (SOTA) results

Paper: arxiv.org/abs/2603.14002

Code: github.com/ebrahimfeghhi/…

Co-authors: @hu_is_lionel @nrhadidi @JonathanCKao

Thread 🧵
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Nick Card retweeted
Another brain-computer interface record set in the published record: fastest communication based on hand movements (typing in this case): nature.com/articles/s4159…
Congrats Justin and the rest of the @BrainGateTeam!
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Announcing the winners of the Brain-to-Text '25 challenge!
🥇 1st place: Zahra Jahanshiri, Masoud Farivar, Siavash Rezazadeh
🥈 2nd place: Jinhan Liu Mahsa Shoaran
🥉 3rd place: Yizi Zhang
🏆 Honorable mention: Tommaso Boccato, Moein Khajehnejad, Michal Olak, Matteo Ferrante
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Replying to @NS_Card
We will be re-releasing the competition data in a non-normalized continuous format in the coming weeks.

We'd also like to re-open the leaderboard so it can serve as a public benchmark for future studies, but have not quite decided how best to do that yet. Stay tuned.
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Finally, we plan to put out a whitepaper later in 2026 covering the decoding approaches used by the winning teams!
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