Miguel Angrick retweeté
English
Miguel Angrick
30 posts
Miguel Angrick
@AngrickM
Postdoctoral Research Fellow at CroneLab, Johns Hopkins University | Brain-Computer Interfaces | Speech Synthesis | Data Science
Baltimore Inscrit le Aralık 2020
84 Abonnements129 Abonnés
Miguel Angrick retweeté
We are pleased to share a recent news story about our first CortiCom participant.
We are recruiting for our next participant. For more information, see: hopkinsmedicine.org/neurology-neur…
youtube.com/watch?v=TQPSrV…
YouTube
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@MC_Ottenhoff Awesome, Maarten. Welcome to the US, hope to see you at SfN then 😉
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This week is my last week at the Neural Interfacing Lab at @MaastrichtU. The last 5 years as a PhD and Postdoc were so much fun. Under supervision of @HerffC, we went from simple pilots to streamlined recordings and advanced neural decoders. Incredible stuff.
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Miguel Angrick retweeté
We are looking for participants for our #BCI trial. We aim to restore the ability to communicate in people with severe paralysis and speech impairments. See full info below 👇
Utrecht BCI@UtrechtBCI
Wij zoeken deelnemers (18-70 jaar) met verlamming en communicatieproblemen door traumatisch hersenletsel, hersenstamberoerte, neuromusculaire of neurodegeneratieve ziekten. Wil je meer weten over nieuw onderzoek over communicatie via de hersensignalen? neuroprothese.nl/meedoen-aan-on…
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The generated speech will be played back as a delayed auditory feedback, and we found that out of all trials from our live sessions, around 80% could be correctly identified by human listeners. Don’t miss our supplementary video which shows an excerpt from one of our sessions.
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We demonstrate an implantable BCI that allows our clinical trial participant to reliably synthesize a fixed set of words at his own pace. The BCI uses 3 RNNs to identify speech segments from the neural activity, isolates them and generates an acoustic waveform accordingly.
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I am very happy to share that our paper about synthesizing speech from ECoG signals has been published today in Scientific Reports. I am very grateful to our whole team and our participant who have made this work possible. Read the full study here: nature.com/articles/s4159…
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Interested in joining our team and step into the world of BCI? We have an open position in our lab @Crone_Lab for a Software Engineer to develop innovative communication applications. Feel free to send me a DM if you have any questions.
Crone Lab@Crone_Lab
@Crone_Lab at Johns Hopkins is hiring a software engineer to develop communication applications for participants in clinical trials of brain implants. To learn more and submit your application: jobs.jhu.edu/job/Baltimore-…
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@HerffC @MC_Ottenhoff @jenpgh @MJvanSteensel @BciSociety Congratulations Maarten, well deserved 😎👏 I love how the brain visualization becomes more colorful throughout the chapters 🤠
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Congratulations Dr. Ottenhoff @MC_Ottenhoff on a great PhD defense with an all star defense committee including the former @jenpgh and current @MJvanSteensel @BciSociety president! I'm really proud of the Neural Interfacing Lab's first finished PhD.
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For anyone interested in stepping into the world of BCIs: This is your chance. Great lab and awesome team!
Christian Herff@HerffC
**Please Share**: We have an open PhD position to work on BCIs with us. Make sure to reach out if you have any questions: vacancies.maastrichtuniversity.nl/job/Maastricht…
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Very proud that I will receive the Early Career Award of the Royal Netherlands Academy of Science!
Koninklijke Nederlandse Akademie van Wetenschappen@_knaw
Felicitiaties aan 12 jonge onderzoekers uit diverse wetenschappelijke disciplines die elk een KNAW Early Career Award krijgen! De prijs is voor onderzoekers die aan het begin van hun carrière staan en die vernieuwende, originele ideeën hebben. bit.ly/3Rbiezz
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Check out this new work from our team @Crone_Lab, lead by @systeve_luo, enabling an ALS patient to control devices over a period of 3 month using an implantable speech-BCI.
Shiyu (Steve) Luo@systeve_luo
Excited to share our new paper published today in Advanced Science doi.org/10.1002/advs.2…. We demonstrate a speech brain computer interface that can be used to reliably control home devices. We were able to maintain 90% median accuracy without decoder recalibration for 3 months.
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Miguel Angrick retweeté
Do you have (or about to have) a PhD and are you interested in speech and intracranial recordings (seeg, ecog, and micro-ecog)? The Cogan Lab at Duke is looking for a postdoc! International applicants are welcome. Join us!
coganlab.org/postdoc23
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I am thrilled to see this work. Congratulations to the whole team, this is really impressive. I can't wait to see the final publication 🤓
Nick Card@NS_Card
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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After getting a first glimpse of these 2 independent speech neuroprosthesis papers at this year's BCI meeting, I'm looking forward to finally getting into the details. Both published today in Nature: nature.com/articles/s4158… and nature.com/articles/s4158…. This looks amazing!
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Miguel Angrick retweeté
Just a few days left to apply! And to those who already did, sorry for the wait until we can start reviewing applications - being part of the country's best public university system is a privilege but it does come with rigorous process in the interest in fairness.
Sergey Stavisky@SergeyStavisky
Our group is hiring a #neurotech research assistant to help make our speech brain-computer interface more useful for participants during day-to-day use. Details and apply at recruit.ucdavis.edu/JPF05745. Please RT🔁!
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In our new work, we demonstrate a BCI that reliably synthesizes words produced by a speech-impaired individual with ALS from a vocabulary of 6 keywords, where the vast majority of these words could be correctly recognized by human listeners.
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Several recent studies have presented approaches to reconstruct the acoustic waveform of spoken speech from neural activity acquired directly from the cortex. These studies relied on retrospective analyses of data recorded from able-bodied participants, such as epilepsy patients.
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I am very excited to share our recent work on @medrxivpreprint about an approach to synthesize speech from neural signals of an ALS patient.
medrxiv.org/cgi/content/sh…
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Miguel Angrick retweeté
