Nicholas Card @NS_Card Twitter profile

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Nicholas Card

@NS_Card

2 months

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

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Nicholas Card

@NS_Card

2 months

And, perhaps most importantly, our speech neuroprosthesis has enabled him to talk to his young daughter using his own voice. 8/9

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Nicholas Card

@NS_Card

2 months

Our speech neuroprosthesis works by deciphering intracortical neural activity during attempted speech into the phonemes being spoken, and then assembling those phonemes into words that are shown on-screen in real time and read aloud in his own voice. 2/9

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Nicholas Card

@NS_Card

2 months

Also check out this beautiful video about our work, made by the UC Davis Health press team!

New Brain-Computer Interface Allows Man with ALS to 'Speak’ Again...

A new brain-computer interface (BCI) developed at UC Davis Health translates brain signals into speech with up to 97% accuracy — the most accurate system of ...

www.youtube.com

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Nicholas Card

@NS_Card

1 year

If you're attending SfN 2023 and you're interested in speech decoding, come check out my poster on Wednesday morning! We demonstrate a very high accuracy and rapidly calibrating brain-to-text BCI for restoring communication. PSTR488.12 / JJ23

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Nicholas Card

@NS_Card

2 months

The speech neuroprosthesis worked on the first ever day of use, achieving over 99% word decoding accuracy with a 50-word vocabulary. On the second day, we expanded the vocabulary to over 125,000 words and still achieved over 90% decoding accuracy. 3/9

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Nicholas Card

@NS_Card

2 months

By the 15th session, the speech neuroprosthesis could decode neural activity into words with an error rate of just 2.5% - about ten times better than previous speech BCIs. This decoding accuracy was sustained for over 8 months after device implantation. 4/9

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Nicholas Card

@NS_Card

1 year

We're so excited that our speech neuroprosthesis project won the 2023 BCI Award! Thanks to all the coauthors for all their hard work @Maitreyee_W @SergeyStavisky @DrDavidBrandman @ca_rrina @BrainGateTeam @neuroleigh @WillettNeuro @pearlsandpython @FanChaofei @JaimieHenderson

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Nicholas Card

@NS_Card

2 months

Check out the rest of our paper here, including 23 additional figures in the supplemental appendix! You can also find this paper’s code repo at 9/9

An Accurate and Rapidly Calibrating Speech Neuroprosthesis | NEJM

Brain–computer interfaces can enable communication for people with paralysis by transforming cortical activity associated with attempted speech into text on a computer screen. Communication with br...

www.nejm.org

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Nicholas Card

@NS_Card

2 months

Throughout over 248 hours of use, he’s used the system to say more than 21,000 sentences to his family, friends, and colleagues. The speech neuroprosthesis is now his preferred method of communication. 7/9

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Nicholas Card

@NS_Card

2 months

We achieved and sustained this decoding accuracy by implanting four 64-channel Utah arrays into speech motor cortex, optimizing the decoding pipeline, and continuously finetuning the neural network that predicts phonemes from neural activity, enabling long-term stability. 5/9

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Nicholas Card

@NS_Card

2 months

High decoding accuracy enabled the participant to use the speech neuroprosthesis for day-to-day communication. The BCI sits idle until he tries to speak, and then decodes his attempted speech. He controls the system using gaze tracking (but it can decode a hand squeeze too). 6/9

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Nicholas Card

@NS_Card

2 months

Finally, thanks to all coauthors for their help making this work possible: @Maitreyee_W @ca_rrina @WillettNeuro @FanChaofei @neuroleigh @JaimieHenderson @SergeyStavisky @DrDavidBrandman and the rest that I cannot find on twitter!

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Nicholas Card

@NS_Card

1 year

Come see my speech decoding poster in the morning!

Nicholas Card

@NS_Card

1 year

If you're attending SfN 2023 and you're interested in speech decoding, come check out my poster on Wednesday morning! We demonstrate a very high accuracy and rapidly calibrating brain-to-text BCI for restoring communication. PSTR488.12 / JJ23

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Nicholas Card

@NS_Card

2 years

I'm thrilled to have been selected as a recipient of the A. P. Giannini Postdoctoral Research Fellowship and Leadership award! I'm excited to continue my research with @sergeydoestweet and @DrDavidBrandman at the UC Davis Neuroprosthetics Lab.

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Nicholas Card

@NS_Card

2 months

Thanks @ConversationUS for inviting me to write an article about how our brain-to-text decoder works! Check it out:

From thoughts to words: How AI deciphers neural signals to help a man with ALS speak

Listening in on neural activity is a promising way of restoring the ability to communicate for people whose bodies no longer can. Artificial neural networks are the key middleman in the process.

theconversation.com

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Nicholas Card

@NS_Card

19 days

If you’re at SfN, come see my poster about conversational speech decoding with an intracortical speech neuroprosthesis! Today from 1pm-5pm at poster H29.

Sergey Stavisky

@SergeyStavisky

22 days

At #SfN24 our lab will be presenting updates on building multi-functional intracortical speech neuroprostheses and understanding the cortical basis of speech and movement. The whole lab including @DrDavidBrandman and I will be there!

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Nicholas Card

@NS_Card

1 year

It was fun to present at the Neuroengineering Lunch & Learn, thanks for having me!

UCD Center for Neuroengineering and Medicine

@ucd_neuroeng

1 year

Dr. Nicholas Card @NS_Card , A.P. Giannini Postdoctoral Fellow @ucdavis @UCDneurosurgery at today's Neuroeng Lunch & Learn. The speech neuroprosthesis project co-led with Dr. Maitreyee Wairagkar @Maitreyee_W won the 2023 BCI Award competition. @UCDavisCOE

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Nicholas Card

@NS_Card

1 year

We're excited to use BRAND in our own online BCI projects at the UC Davis Neuroprosthetics Lab!

Yahia Ali

@_yahiaali

1 year

#tweeprint I am excited to share BRAND, our software platform for building closed-loop neuroscience experiments with support for ✅ deep neural network inference with minimal code changes ✅ fast high-bandwidth communication ✅ 54 programming languages 1/8

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Nicholas Card

@NS_Card

2 years

I’ve got a poster at #SfN22 tomorrow morning (11/15, 8am-12pm): [GG9] Optical resting state reveals network architecture of sensorimotor cortex in monkeys. Come see it!

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Nicholas Card

@NS_Card

1 year

@nicholaschehade Congrats Nick! Very cool work

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Nicholas Card

@NS_Card

1 year

@SeanMetzger5 @Maitreyee_W @SergeyStavisky @DrDavidBrandman @ca_rrina @gtec_BCI Thanks Sean! The first day had 190 training sentences from the 50-word vocabulary. The second day had about 250 training sentences from the much larger vocabulary.

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Nicholas Card

@NS_Card

1 year

@KayloLittlejohn @SergeyStavisky @SeanMetzger5 @Maitreyee_W @DrDavidBrandman @ca_rrina @gtec_BCI We didn’t try pre-training on other participants’ data, so it’s all t15! That will make an interesting transfer learning project down the road though

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Nicholas Card

@NS_Card

3 months

@CoganLab We quantified speech detection accuracy during the copy task because we knew exactly when the participant was speaking or not during that task. Qualitatively, I can say that it was also reliable during conversation mode. We rarely got false positives when he was not speaking.

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Nicholas Card

@NS_Card

3 months

@CoganLab Yes! Compared to Willett, Kunz, Fan et al. 2023, we have doubled the recording channel count and also record from two additional areas (4 and 55b). That, plus several data pipeline tweaks, an upgraded online language model, and early hyperparameter optimization all helped.

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Nicholas Card

@NS_Card

3 months

@CoganLab Similar to Willett, Kunz, Fan et al. 2023 (see extended figures), we found that spike-band power motives phoneme decoding more than threshold crossings, but using both still provides slightly better performance than only using SBP.

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Nicholas Card

@NS_Card

2 months

@SumnerLN @SergeyStavisky @BrainGateTeam Thanks, Sumner!

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Nicholas Card

@NS_Card

2 years

@PittEngineering wrote a great article about my latest publication with Omar Gharbawie! Check it out:

Capturing Cortical Connectivity Close-Up

The brain is made up of a complex series of networks—signals are constantly bouncing between those networks to allow us to experience the world and move through it effectively.Understanding how brain...

news.engineering.pitt.edu

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Nicholas Card

@NS_Card

5 months

@chapman_bliss @SergeyStavisky @Maitreyee_W Thanks, Bliss!

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Nicholas Card

@NS_Card

3 months