Sean Perkins

25 posts

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Sean Perkins

Sean Perkins

@Perkins_SM

Biomedical engineer and neuroscientist developing brain-machine interfaces to improve human health @ZuckermanBrain @Columbia

Beigetreten Şubat 2022
117 Folgt118 Follower
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Sean Perkins
Sean Perkins@Perkins_SM·
Excited to release a preprint about MINT! MINT is a highly accurate & very general BCI decoder that uses statistical constraints inspired by emerging scientific observations regarding neural geometries. Co-authors John Cunningham, Qi Wang, @MarkChurchland biorxiv.org/content/10.110…
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Sean Perkins
Sean Perkins@Perkins_SM·
Excited to release a preprint about MINT! MINT is a highly accurate & very general BCI decoder that uses statistical constraints inspired by emerging scientific observations regarding neural geometries. Co-authors John Cunningham, Qi Wang, @MarkChurchland biorxiv.org/content/10.110…
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Eric Trautmann
Eric Trautmann@EricMTrautmann·
I'm excited to announce our preprint for the Neuropixels 1.0-NHP probe. This represents a large-scale collaborative effort to develop high-density electrodes for neural recording in large animal models like nonhuman primates. biorxiv.org/content/10.110…
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Chethan Pandarinath
Chethan Pandarinath@chethan·
So excited for the Neural Latents Workshop today!! 😁 12-5p ET
Chethan Pandarinath tweet media
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Sean Perkins
Sean Perkins@Perkins_SM·
Check out the full video demo in which MINT estimates a subject’s neural state and decodes velocity as the subject navigates a virtual environment. Paper in preparation – stay tuned! (4/4) youtube.com/watch?v=zJhTOj…
YouTube video
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Sean Perkins
Sean Perkins@Perkins_SM·
This assumption enables accurate real-time neural state estimation in a probabilistic framework and provides a straightforward, nonlinear mapping from neural state to intended movement. (3/4)
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Sean Perkins
Sean Perkins@Perkins_SM·
I designed a neural decode algorithm (MINT) with @MarkChurchland. Very excited to team up with @BlackrockNeuro_ who will use MINT to restore movement to patients with paralysis! Huge thanks to collaborators @schroeder_ke, John Cunningham, and Qi Wang. Video demo in thread (1/4)
Blackrock Neurotech@BlackrockNeuro_

We are teaming up with @Columbia's neural decoder MINT, which will be integrated into the MoveAgain software, enabling patients' thoughts to be translated more optimally into prosthetic movements: prn.to/3rCmOdb

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Mark Churchland
Mark Churchland@MarkChurchland·
Pleased to see MINT on the road to someday helping patients. MINT is a novel BMI decoding algorithm that leverages recent findings regarding trajectory geometry. Congrats to @Perkins_SM, @schroeder_ke, J. Cunningham, Qi Wang. Thxs @chethan for NLB'21. Explanatory video to follow.
Blackrock Neurotech@BlackrockNeuro_

We are teaming up with @Columbia's neural decoder MINT, which will be integrated into the MoveAgain software, enabling patients' thoughts to be translated more optimally into prosthetic movements: prn.to/3rCmOdb

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Karen Schroeder
Karen Schroeder@schroeder_ke·
This is a great analysis of our paper! And I love the analogy of someone shouting in a foreign language to get out of the way of a flood. Decoders based upon incorrect models (the wrong lang.) might let you take action (run), but they're missing a lot of valuable info @Perkins_SM
Adam Dede@AdamOsmanDede

@schroeder_ke, Sean Perkins, Qi Wang, and @MarkChurchland found that motor cortex changes its coding for different tasks. Turns out, you can decode a lot more if you follow native variance. How will @elonmusk's @neuralink solve this? youtu.be/W6jvd2xVsdo

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