Literature DB >> 29456026

Neural Population Dynamics Underlying Motor Learning Transfer.

Saurabh Vyas1, Nir Even-Chen2, Sergey D Stavisky3, Stephen I Ryu4, Paul Nuyujukian5, Krishna V Shenoy6.   

Abstract

Covert motor learning can sometimes transfer to overt behavior. We investigated the neural mechanism underlying transfer by constructing a two-context paradigm. Subjects performed cursor movements either overtly using arm movements, or covertly via a brain-machine interface that moves the cursor based on motor cortical activity (in lieu of arm movement). These tasks helped evaluate whether and how cortical changes resulting from "covert rehearsal" affect overt performance. We found that covert learning indeed transfers to overt performance and is accompanied by systematic population-level changes in motor preparatory activity. Current models of motor cortical function ascribe motor preparation to achieving initial conditions favorable for subsequent movement-period neural dynamics. We found that covert and overt contexts share these initial conditions, and covert rehearsal manipulates them in a manner that persists across context changes, thus facilitating overt motor learning. This transfer learning mechanism might provide new insights into other covert processes like mental rehearsal.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  brain-machine interface; dynamical system; motor adaptation; motor learning; motor preparation; transfer learning

Mesh:

Year:  2018        PMID: 29456026      PMCID: PMC5843544          DOI: 10.1016/j.neuron.2018.01.040

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


  53 in total

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Authors:  Steven M Chase; Robert E Kass; Andrew B Schwartz
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

Review 2.  Error correction, sensory prediction, and adaptation in motor control.

Authors:  Reza Shadmehr; Maurice A Smith; John W Krakauer
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3.  Contributions of online visual feedback to the learning and generalization of novel finger coordination patterns.

Authors:  Xiaolin Liu; Robert A Scheidt
Journal:  J Neurophysiol       Date:  2008-03-19       Impact factor: 2.714

Review 4.  Eight problems for the mirror neuron theory of action understanding in monkeys and humans.

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Journal:  J Cogn Neurosci       Date:  2009-07       Impact factor: 3.225

5.  Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models.

Authors:  Vincent S Huang; Adrian Haith; Pietro Mazzoni; John W Krakauer
Journal:  Neuron       Date:  2011-05-26       Impact factor: 17.173

6.  Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice.

Authors:  Mackenzie Weygandt Mathis; Alexander Mathis; Naoshige Uchida
Journal:  Neuron       Date:  2017-03-22       Impact factor: 17.173

7.  Behaviorally Selective Engagement of Short-Latency Effector Pathways by Motor Cortex.

Authors:  Andrew Miri; Claire L Warriner; Jeffrey S Seely; Gamaleldin F Elsayed; John P Cunningham; Mark M Churchland; Thomas M Jessell
Journal:  Neuron       Date:  2017-07-20       Impact factor: 17.173

8.  Rapid Integration of Artificial Sensory Feedback during Operant Conditioning of Motor Cortex Neurons.

Authors:  Mario Prsa; Gregorio L Galiñanes; Daniel Huber
Journal:  Neuron       Date:  2017-02-22       Impact factor: 17.173

9.  Learning a visuomotor rotation: simultaneous visual and proprioceptive information is crucial for visuomotor remapping.

Authors:  Britne A Shabbott; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2010-03-17       Impact factor: 1.972

10.  Motor Cortical Visuomotor Feedback Activity Is Initially Isolated from Downstream Targets in Output-Null Neural State Space Dimensions.

Authors:  Sergey D Stavisky; Jonathan C Kao; Stephen I Ryu; Krishna V Shenoy
Journal:  Neuron       Date:  2017-06-15       Impact factor: 17.173

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  32 in total

1.  Reduced transfer of visuomotor adaptation is associated with aberrant sense of agency in schizophrenia.

Authors:  Sonia Bansal; Karthik G Murthy; Justin Fitzgerald; Barbara L Schwartz; Wilsaan M Joiner
Journal:  Neuroscience       Date:  2019-06-20       Impact factor: 3.590

2.  Distinct types of neural reorganization during long-term learning.

Authors:  Xiao Zhou; Rex N Tien; Sadhana Ravikumar; Steven M Chase
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

3.  Learning is shaped by abrupt changes in neural engagement.

Authors:  Aaron P Batista; Steven M Chase; Byron M Yu; Jay A Hennig; Emily R Oby; Matthew D Golub; Lindsay A Bahureksa; Patrick T Sadtler; Kristin M Quick; Stephen I Ryu; Elizabeth C Tyler-Kabara
Journal:  Nat Neurosci       Date:  2021-03-29       Impact factor: 24.884

Review 4.  Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.

Authors:  Chethan Pandarinath; K Cora Ames; Abigail A Russo; Ali Farshchian; Lee E Miller; Eva L Dyer; Jonathan C Kao
Journal:  J Neurosci       Date:  2018-10-31       Impact factor: 6.167

Review 5.  Computation Through Neural Population Dynamics.

Authors:  Saurabh Vyas; Matthew D Golub; David Sussillo; Krishna V Shenoy
Journal:  Annu Rev Neurosci       Date:  2020-07-08       Impact factor: 12.449

Review 6.  Progress in Brain Computer Interface: Challenges and Opportunities.

Authors:  Simanto Saha; Khondaker A Mamun; Khawza Ahmed; Raqibul Mostafa; Ganesh R Naik; Sam Darvishi; Ahsan H Khandoker; Mathias Baumert
Journal:  Front Syst Neurosci       Date:  2021-02-25

7.  Maintained Representations of the Ipsilateral and Contralateral Limbs during Bimanual Control in Primary Motor Cortex.

Authors:  Kevin P Cross; Ethan A Heming; Douglas J Cook; Stephen H Scott
Journal:  J Neurosci       Date:  2020-07-23       Impact factor: 6.167

8.  Reinforcement regulates timing variability in thalamus.

Authors:  Jing Wang; Eghbal Hosseini; Nicolas Meirhaeghe; Adam Akkad; Mehrdad Jazayeri
Journal:  Elife       Date:  2020-12-01       Impact factor: 8.140

Review 9.  Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations.

Authors:  Marc W Slutzky
Journal:  Neuroscientist       Date:  2018-05-17       Impact factor: 7.519

10.  A Neural Population Mechanism for Rapid Learning.

Authors:  Matthew G Perich; Juan A Gallego; Lee E Miller
Journal:  Neuron       Date:  2018-10-18       Impact factor: 17.173

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