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New preprint! With co-1st Sean Perkins, Qi Wang, and Mark Churchland. Brief summary: [1/5]

BMI decode of virtual self-motion by Karen Schroeder and Sean Perkins. The decode follows real movement so well that subjects don’t realize the game has switched from manual control to brain control. Achieved through somewhat unusual and creative means…

Congrats to Andrew Zimnik -- his paper on the neural generation of rapid sequences is now out. The results are amazingly clean. And also the complete opposite of what we expected we would see! doi.org/10.1038/s41593…

Excited to announce that this is finally up on bioRxiv. Congratulations @najabam @joshuaiglase Eric Trautmann Elom Amematsro , Sean Perkins, Michael Shadlen Larry Abbott & John Cunningham. We hope this will change how you think about both muscles and cortex. biorxiv.org/content/10.110…

Congrats to Sean Perkins for developing MINT, a new neural decoding algorithm that will enable high performance, ultrafast prosthetic control!

Very exciting news!!! Congrats Sean Perkins and Mark Churchland for getting us closer to restoring movement in patients!

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 Sean Perkins

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 Sean Perkins, Karen Schroeder, J. Cunningham, Qi Wang. Thxs Chethan Pandarinath for NLB'21. Explanatory video to follow.

So excited for the Neural Latents Workshop today!! 😁 12-5p ET

Had a great time at #NEBEC2022. Thank you to chair Doug Weber for an awesome neural engineering session!

Out now! Exciting work from @najabam with Josh Glaser Sean Perkins Michael Shadlen Mark Churchland @AmematsroElom and John Cunningham nature.com/articles/s4159… 👇👇👇

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…