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Xulu Sun
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?
Animals have a remarkable capacity to learn new motor skills, but it remains an open question as to how learning changes neural population dynamics underlying movement. Specifically, we asked whether...
bioRxiv bioRxiv @biorxivpreprint
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Xulu Sun 1. velj
Odgovor korisniku/ci @djoshea @MattGolub_Neuro i 3 ostali
In this work, we study neural population dynamics of motor learning with , , , , Stephen Ryu, and .
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
Neural population dynamics have provided foundational insight into activity patterns and computational principles not readily apparent at single-neuron resolution. Recently, a dynamical system framework has begun to elucidate the neural basis of motor learning.
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
Collectively, previous studies have observed changes in neural population activity related to the learning process. A remaining challenge is to dissociate neural population dynamics tightly linked to movement parameters (e.g., kinematics and kinetics)…
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
…from other higher-level aspects of learning. How do changes in neural population dynamics reflect distinct aspects of learning during acquisition of a specific motor skill, as well as retention of multiple skills?
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
To address this question, we trained rhesus monkeys to learn a curl force field task that elicited new arm-movement kinetics for some (trained reach) but not all reach directions.
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
We recorded neural activity in dorsal premotor cortex (PMd) and primary motor cortex (M1) using Neuropixels probes, Utah arrays, and V-probes, which provided access to hundreds of neurons simultaneously or pooled over sessions.
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
Along certain neural dimensions constructed by linear regression, preparatory states for learning-altered reaches rotate towards preparatory states of their adjacent reaches opposite to the curl field direction. Preparatory states reassociate existing patterns with new movements.
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
We found unexpected prominent shifts of preparatory states along a nearly orthogonal neural dimension. These changes were observed uniformly for all reaches including those unaltered by learning. This uniform shift during learning implies formation of new neural activity patterns
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
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.
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
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.
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Xulu Sun 1. velj
Odgovor korisniku/ci @hannahsheahan
Recent behavioral studies by 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.
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
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.
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Xulu Sun 1. velj
Odgovor korisniku/ci @XuLunaSun
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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Xulu Sun 1. velj
Odgovor korisniku/ci @MattAntimatt @marius10p
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 and for spike sorting software. More results unpacked in the paper:
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