Literature DB >> 29398358

Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response.

Abigail A Russo1, Sean R Bittner1, Sean M Perkins2, Jeffrey S Seely1, Brian M London3, Antonio H Lara1, Andrew Miri4, Najja J Marshall1, Adam Kohn5, Thomas M Jessell6, Laurence F Abbott7, John P Cunningham8, Mark M Churchland9.   

Abstract

Primate motor cortex projects to spinal interneurons and motoneurons, suggesting that motor cortex activity may be dominated by muscle-like commands. Observations during reaching lend support to this view, but evidence remains ambiguous and much debated. To provide a different perspective, we employed a novel behavioral paradigm that facilitates comparison between time-evolving neural and muscle activity. We found that single motor cortex neurons displayed many muscle-like properties, but the structure of population activity was not muscle-like. Unlike muscle activity, neural activity was structured to avoid "tangling": moments where similar activity patterns led to dissimilar future patterns. Avoidance of tangling was present across tasks and species. Network models revealed a potential reason for this consistent feature: low tangling confers noise robustness. Finally, we were able to predict motor cortex activity from muscle activity by leveraging the hypothesis that muscle-like commands are embedded in additional structure that yields low tangling.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  motor control; motor cortex; movement generation; neural dynamics; neural network; pattern generation; rhythmic movement

Mesh:

Year:  2018        PMID: 29398358      PMCID: PMC5823788          DOI: 10.1016/j.neuron.2018.01.004

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


  68 in total

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Journal:  Nat Neurosci       Date:  2000-10       Impact factor: 24.884

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Authors:  Y Burnod; P Grandguillaume; I Otto; S Ferraina; P B Johnson; R Caminiti
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Review 4.  Inconvenient truths about neural processing in primary motor cortex.

Authors:  Stephen H Scott
Journal:  J Physiol       Date:  2008-01-10       Impact factor: 5.182

Review 5.  Cortical control of arm movements: a dynamical systems perspective.

Authors:  Krishna V Shenoy; Maneesh Sahani; Mark M Churchland
Journal:  Annu Rev Neurosci       Date:  2013-05-29       Impact factor: 12.449

6.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images.

Authors:  B A Olshausen; D J Field
Journal:  Nature       Date:  1996-06-13       Impact factor: 49.962

7.  Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate.

Authors:  Roberta M Kelly; Peter L Strick
Journal:  J Neurosci       Date:  2003-09-10       Impact factor: 6.167

8.  Cortical activity in the null space: permitting preparation without movement.

Authors:  Matthew T Kaufman; Mark M Churchland; Stephen I Ryu; Krishna V Shenoy
Journal:  Nat Neurosci       Date:  2014-02-02       Impact factor: 24.884

9.  The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type.

Authors:  Matthew T Kaufman; Jeffrey S Seely; David Sussillo; Stephen I Ryu; Krishna V Shenoy; Mark M Churchland
Journal:  eNeuro       Date:  2016-08-30

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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  56 in total

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3.  A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping.

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

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Review 5.  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
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6.  A muscle-activity-dependent gain between motor cortex and EMG.

Authors:  Stephanie Naufel; Joshua I Glaser; Konrad P Kording; Eric J Perreault; Lee E Miller
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7.  Correlations Between Primary Motor Cortex Activity with Recent Past and Future Limb Motion During Unperturbed Reaching.

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Review 8.  A Dynamical Systems Perspective on Flexible Motor Timing.

Authors:  Evan D Remington; Seth W Egger; Devika Narain; Jing Wang; Mehrdad Jazayeri
Journal:  Trends Cogn Sci       Date:  2018-10       Impact factor: 20.229

Review 9.  Computation Through Neural Population Dynamics.

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10.  Oscillatory recurrent gated neural integrator circuits (ORGaNICs), a unifying theoretical framework for neural dynamics.

Authors:  David J Heeger; Wayne E Mackey
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