
Maxime Verwoert
@MaximeVerwoert
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PhD Candidate at Maastricht University | Invasive Brain-Computer Interfaces | Speech Synthesis
Joined November 2021
Our speech presentation work has now been published in Communications Biology! .Can this be a start to create a more flexible speech BCI based on differential representations of speech and anatomical areas?.
nature.com
Communications Biology - Intracranial neural recordings reveal the dynamic and distributed nature of semantic, articulatory and acoustic representations of speech production, highlighting the...
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The motor representation of speech has gotten a lot of attention for speech BCIs lately, but what about non-motor speech representations? How are they all distributed across the brain? We've explored exactly that in our new preprint!
biorxiv.org
Speech production is a complex process that traverses several representations, from the meaning of spoken words (semantic), through the movement of articulatory muscles (articulatory) and, finally,...
Speaking involves the coordination of searching for the right words, planning muscle movement and predicting the resulting sound. @maximeverwoert's new preprint explores how these speech representations—semantic, articulatory, and acoustic—are mapped across the entire brain. 1/5
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🧠Learn about stereo-electroencephalography, speech brain-computer interfaces, our open-source dataset, education, how to network, how to handle perfectionism and much more. 🎙 In this podcast episode together with Milena Korostenskaja.👂
open.spotify.com
Neurocareers: Doing the Impossible! · Episode
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A great reminder on our walls everyday to be grateful to all the participants that give us their time and effort to advance science!❤️.
We are incredibly fortunate to work with our amazing volunteers. @MaximeVerwoert made this wonderful poster to celebrate our first 50 participants.
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RT @ACPaulk: New papers on intracranial electrode localization in humans from us and others! .1. SEEGAtlas, by @ZelmannRina .
journals.plos.org
Implantation of electrodes in the brain has been used as a clinical tool for decades to stimulate and record brain activity. As this method increasingly becomes the standard of care for several...
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Can we use global motor dynamics for transfer learning? Check out the details of our latest work!.
New preprint! We have identified global motor dynamics in humans, predictive of movement across tasks and across participants with non-overlapping electrodes. Here is what we did [1/đź§µ]: #bci #neuroscience #neurotech #science.
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RT @MC_Ottenhoff: New preprint! We have identified global motor dynamics in humans, predictive of movement across tasks and across particip….
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RT @biorxiv_neursci: Global motor dynamics - Invariant neural representations of motor behavior in distributed brain-wide recordings https….
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RT @HerffC: We are looking for a PhD student to work with us on the next generation of BCIs. Apply, share and forward to interested folks!….
academictransfer.com
We are looking for a PhD student for a 4-year project aimed at identifying brain signals in the subthalamic nucleus in relation to non-motor processes and influencing them through closed-loop Deep...
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Learn about open science in the development of neurotechnology, open for everyone to attend!.
Delighted to introduce @Nick_Halper's upcoming online seminar on #OpenScience & #IP for #neurotechnology, next Martch 28th at 14.00-15.30 CET. It's part of @INTENSEproject2's science-entrepreneurship curriculm. Limited seats, register here Please RT!🧠🙂
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Great to see an open-access collaborative student project based on our iEEG speech dataset! .➡️ Do let us know if you are working on the dataset as well, we're looking forward to any new insights that will help advance the speech production/BCI fields!🧠.
github.com
This is the repository of the team Golden Oreos in the deeplearning course. - v-artur/Golden_Oreos
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RT @MC_Ottenhoff: New Preprint! We developed a versatile software package to automatically handle setup and recording (neuroscientific) exp….
biorxiv.org
Recording time in invasive neuroscientific empirical research is short and must be used as efficiently as possible. Time is often lost due to long setup times and errors by the researcher. Minimizing...
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