Literature DB >> 32053768

Causal Role of Motor Preparation during Error-Driven Learning.

Saurabh Vyas1, Daniel J O'Shea2, Stephen I Ryu3, Krishna V Shenoy4.   

Abstract

Current theories suggest that an error-driven learning process updates trial-by-trial to facilitate motor adaptation. How this process interacts with motor cortical preparatory activity-which current models suggest plays a critical role in movement initiation-remains unknown. Here, we evaluated the role of motor preparation during visuomotor adaptation. We found that preparation time was inversely correlated to variance of errors on current trials and mean error on subsequent trials. We also found causal evidence that intracortical microstimulation during motor preparation was sufficient to disrupt learning. Surprisingly, stimulation did not affect current trials, but instead disrupted the update computation of a learning process, thereby affecting subsequent trials. This is consistent with a Bayesian estimation framework where the motor system reduces its learning rate by virtue of lowering error sensitivity when faced with uncertainty. This interaction between motor preparation and the error-driven learning system may facilitate new probes into mechanisms underlying trial-by-trial adaptation.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dynamical systems; error-driven learning; microstimulation; motor preparation; preparatory; visuomotor adaptation

Mesh:

Year:  2020        PMID: 32053768      PMCID: PMC7185427          DOI: 10.1016/j.neuron.2020.01.019

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  55 in total

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Authors:  Krishna V Shenoy; Maneesh Sahani; Mark M Churchland
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4.  Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal Model.

Authors:  Sergey D Stavisky; Jonathan C Kao; Stephen I Ryu; Krishna V Shenoy
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5.  Motor cortex is required for learning but not for executing a motor skill.

Authors:  Risa Kawai; Timothy Markman; Rajesh Poddar; Raymond Ko; Antoniu L Fantana; Ashesh K Dhawale; Adam R Kampff; Bence P Ölveczky
Journal:  Neuron       Date:  2015-04-16       Impact factor: 17.173

6.  Anticipatory activity of motor cortex neurons in relation to direction of an intended movement.

Authors:  J Tanji; E V Evarts
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7.  Cerebellar Contribution to Preparatory Activity in Motor Neocortex.

Authors:  Francois P Chabrol; Antonin Blot; Thomas D Mrsic-Flogel
Journal:  Neuron       Date:  2019-06-11       Impact factor: 17.173

8.  Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.

Authors:  Alex H Williams; Tony Hyun Kim; Forea Wang; Saurabh Vyas; Stephen I Ryu; Krishna V Shenoy; Mark Schnitzer; Tamara G Kolda; Surya Ganguli
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9.  Motor Planning, Not Execution, Separates Motor Memories.

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10.  Augmenting intracortical brain-machine interface with neurally driven error detectors.

Authors:  Nir Even-Chen; Sergey D Stavisky; Jonathan C Kao; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neural Eng       Date:  2017-12       Impact factor: 5.379

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3.  Prolonged response time helps eliminate residual errors in visuomotor adaptation.

Authors:  Samuel D McDougle; Raphael Schween; Lisa Langsdorf; Jana Maresch; Mathias Hegele
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4.  High-fidelity musculoskeletal modeling reveals that motor planning variability contributes to the speed-accuracy tradeoff.

Authors:  Mazen Al Borno; Saurabh Vyas; Krishna V Shenoy; Scott L Delp
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5.  Selective modulation of cortical population dynamics during neuroprosthetic skill learning.

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6.  Transcranial magnetic stimulation on the dorsal premotor cortex facilitates human visuomotor adaptation.

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7.  Residual errors in visuomotor adaptation persist despite extended motor preparation periods.

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  7 in total

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