In this work, we study neural population dynamics of motor learning with @djoshea, @MattGolub_Neuro, @EricMTrautmann, @SaurabhsNeurons, Stephen Ryu, and @shenoystanford.
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The uniform shift we found separates preparatory neural states (i.e., initial states) for seeding the local neural dynamics that would evolve in those regions of state space to produce distinct movements. This shift might thus reduce interference between multiple motor skills.pic.twitter.com/8ekZSFMWLV
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In conclusion, the neural geometry of these uniform shifts in preparatory activity could serve to organize skill-specific changes in movement production, facilitating the acquisition and retention of a broad motor repertoire.
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We thank everyone again for contributing to this work. Thanks to all the members of the Shenoy lab for comments and discussions throughout this project, and to
@MattAntimatt and@marius10p for spike sorting software. More results unpacked in the paper:http://biorxiv.org/content/10.1101/2020.01.30.919894v1 …Prikaži ovu nit
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