Very happy to share our new preprint! Animals have a remarkable capacity to learn new motor skills, but how does learning change neural population dynamics underlying movement?http://www.biorxiv.org/content/10.1101/2020.01.30.919894v1 …https://twitter.com/biorxiv_neursci/status/1223480704761257984 …
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During a washout period, movement kinetics gradually reverted, but the learning-induced uniform shift of preparatory activity persisted. This persistent shift may retain a motor memory of the learned field, consistent with faster relearning observed behaviorally and neurally.pic.twitter.com/AwMSaJPbtA
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When leaning different curl fields sequentially, distinct uniform shifts occur, each reflecting the identity of the field applied and potentially separating motor memories. E.g., when learning opposite curl fields applied to the same target, preparatory states shift oppositely.pic.twitter.com/H409h5Dn52
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Recent behavioral studies by
@HannahSheahan and colleagues have found that when people prepare for different movements associated with different curl fields, they can learn multiple skills without interference that would otherwise hamper learning.pic.twitter.com/w0eQBrGA5I
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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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