Justin Jude

Postdoctoral fellow at Massachusetts General Hospital researching speech decoding using Brain-Computer Interfaces

[Brown University @BrownUniversity]

A new study from Brown and Mass General Brigham Neuroscience Institute shows how an implantable brain-computer interface enables rapid, accurate typing for people with ALS and spinal cord injuries — helping restore communication after paralysis. https://t.co/ye3yJfUKJX

[Brown Daily Herald @the_herald]

A recently published Brown study allows paralyzed patients to “type” at up to 22 words per minute. The work uses electrode arrays to track the neural signals associated with attempted finger movements for typing on a keyboard.

https://t.co/84brnA74uF

[Smithsonian Magazine @SmithsonianMag]

"This is an important technical advance that brings brain-computer typing much closer to practical communication speeds for people with paralysis." https://t.co/jdrHAJsqK4

[Springer Nature @SpringerNature]

A device capable of translating activity in the brain during attempted keyboard typing into typed text is presented in @NatureNeuro. This approach could offer a more familiar and easier-to-learn alternative to communication systems: https://t.co/41bCo4ITtV

[Mass General Brigham Research @MGBResearchNews]

New study in the world of #iBCI from the team at @MassGenBrigham 🚨

The @BrainGateTeam's new innovative method enables rapid communication for two people with paralysis, the fastest yet in the world of iBCI.

Read more: https://t.co/ZUV7NNFjJo https://t.co/VkvNhyleCi

[STAT @statnews]

Two people with paralysis were able to type using a brain-computer interface that decodes attempted finger movement, a new study showed. https://t.co/pSR1D8yVWL

[EL PAÍS @el_pais]

Unos electrodos conectados al cerebro permiten a dos personas con parálisis teclear con la mente. Uno de los pacientes, con tetraplejía, logró velocidades similares a las de la media y casi sin errores https://t.co/Vjvc0oTJ48

[Sergey Stavisky @SergeyStavisky]

Another brain-computer interface record set in the published record: fastest communication based on hand movements (typing in this case): https://t.co/foO2VGFTmD
Congrats Justin and the rest of the @BrainGateTeam!

[Christoph Guger @ChristophGuger]

🏆 Announcing the 2nd Place Winner of the #BCIAward2025 — congratulations to Justin Jude & team for their groundbreaking work in #BrainComputerInterface tech! 🎉

Learn more about all nominees 👉 https://t.co/PmIR1TpRga

#Neurotech #Innovation #gtecmedical

[g.tec medical engineering GmbH @gtec_BCI]

🏆 Announcing the 2nd Place Winner of the #BCIAward2025 — congratulations to Justin Jude & team for their groundbreaking work in #BrainComputerInterface tech! 🎉

Learn more about all nominees 👉 https://t.co/0l8oa4xZtB

#Neurotech #Innovation #gtecmedical

[bioRxiv Neuroscience @biorxiv_neursci]

Decoding intended speech with an intracortical brain-computer interface in a person with longstanding anarthria and locked-in syndrome https://t.co/WOOHrwFylC #biorxiv_neursci

[Nick Card @NS_Card]

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👇

[Nick Card @NS_Card]

We're excited to announce the Brain-to-Text '25 competition, with a new intracortical speech neuroscience dataset and $9,000 in prizes generously provided by @BlackrockNeuro_!. Can you do better than us at decoding speech-related neural activity into text?
https://t.co/MKz7WuHjTh

[Frank Willett @WillettNeuro]

20 years and 14 BrainGate participants - our latest preprint delivers the first systematic look at Utah array longevity, stability & decoding accuracy in people! 1/7 https://t.co/IRB1ZnVHOu

[Maitreyee Wairagkar @Maitreyee_W]

Our brain-to-voice synthesis brain-computer interface paper was published in @Nature today! This neuroprosthesis synthesized the voice of a man with ALS instantaneously, enabling him to ‘speak’ flexibly and modulate the prosody of his BCI-voice. 1/7
Paper: https://t.co/STKtfgypAW

[Sergey Stavisky @SergeyStavisky]

Now published in the Journal of Neural Engineering!
https://t.co/jBnuzJjm78

[Justin Jude @Justin_Jude]

I’m excited to present our new preprint!
An intuitive, bimanual, high-throughput QWERTY touch typing neuroprosthesis for people with tetraplegia.

https://t.co/mSJbbV5cS4

[Maitreyee Wairagkar @Maitreyee_W]

Excited to share our NEW preprint: a "brain-to-voice" neuroprosthesis that directly synthesizes voice from neural activity with closed-loop audio feedback. It allowed a man with ALS to speak expressively by modulating intonation & sing melodies via BCI! https://t.co/CxNBxTqqYr 1/

[Nick Card @NS_Card]

Our new study is out today in the New England Journal of Medicine! We demonstrate a speech neuroprosthesis that decodes the attempted speech of a man with ALS into text with 97.5% accuracy, enabling him to communicate with his family, friends, and colleagues in his own home. 1/9

[Kording Lab 🦖 @KordingLab]

Are transformers now much better than convnets at describing visual cortex? https://t.co/hvGakWoMWi