Literature DB >> 28595054

Neural Manifolds for the Control of Movement.

Juan A Gallego1, Matthew G Perich2, Lee E Miller3, Sara A Solla4.   

Abstract

The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional manifolds that capture a significant fraction of neural variability. These neural manifolds are spanned by specific patterns of correlated neural activity, the "neural modes." We discuss a model for neural control of movement in which the time-dependent activation of these neural modes is the generator of motor behavior. This manifold-based view of motor cortex may lead to a better understanding of how the brain controls movement.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28595054      PMCID: PMC6122849          DOI: 10.1016/j.neuron.2017.05.025

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


  64 in total

1.  Direct cortical control of muscle activation in voluntary arm movements: a model.

Authors:  E Todorov
Journal:  Nat Neurosci       Date:  2000-04       Impact factor: 24.884

2.  Multiple component networks support working memory in prefrontal cortex.

Authors:  David A Markowitz; Clayton E Curtis; Bijan Pesaran
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

3.  Preferential representation of instructed target location versus limb trajectory in dorsal premotor area.

Authors:  L Shen; G E Alexander
Journal:  J Neurophysiol       Date:  1997-03       Impact factor: 2.714

4.  Monkey primary motor and premotor cortex: single-cell activity related to prior information about direction and extent of an intended movement.

Authors:  A Riehle; J Requin
Journal:  J Neurophysiol       Date:  1989-03       Impact factor: 2.714

5.  Relation of pyramidal tract activity to force exerted during voluntary movement.

Authors:  E V Evarts
Journal:  J Neurophysiol       Date:  1968-01       Impact factor: 2.714

6.  A neural network that finds a naturalistic solution for the production of muscle activity.

Authors:  David Sussillo; Mark M Churchland; Matthew T Kaufman; Krishna V Shenoy
Journal:  Nat Neurosci       Date:  2015-06-15       Impact factor: 24.884

7.  Functional, but not anatomical, separation of "what" and "when" in prefrontal cortex.

Authors:  Christian K Machens; Ranulfo Romo; Carlos D Brody
Journal:  J Neurosci       Date:  2010-01-06       Impact factor: 6.167

Review 8.  The case for and against muscle synergies.

Authors:  Matthew C Tresch; Anthony Jarc
Journal:  Curr Opin Neurobiol       Date:  2009-10-12       Impact factor: 6.627

9.  Diverse coupling of neurons to populations in sensory cortex.

Authors:  Matteo Carandini; Kenneth D Harris; Michael Okun; Nicholas Steinmetz; Lee Cossell; M Florencia Iacaruso; Ho Ko; Péter Barthó; Tirin Moore; Sonja B Hofer; Thomas D Mrsic-Flogel
Journal:  Nature       Date:  2015-04-06       Impact factor: 49.962

10.  Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex.

Authors:  Benjamin R Cowley; Matthew A Smith; Adam Kohn; Byron M Yu
Journal:  PLoS Comput Biol       Date:  2016-12-09       Impact factor: 4.475

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  87 in total

1.  Highlights from the 29th Annual Meeting of the Society for the Neural Control of Movement.

Authors:  Alexander Mathis; Andrea R Pack; Rodrigo S Maeda; Samuel D McDougle
Journal:  J Neurophysiol       Date:  2019-08-28       Impact factor: 2.714

Review 2.  Rethinking brain-wide interactions through multi-region 'network of networks' models.

Authors:  Matthew G Perich; Kanaka Rajan
Journal:  Curr Opin Neurobiol       Date:  2020-11-27       Impact factor: 6.627

Review 3.  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

4.  Highlights from the 28th Annual Meeting of the Society for the Neural Control of Movement.

Authors:  Kevin A Mazurek; Michael Berger; Tejapratap Bollu; Raeed H Chowdhury; Naveen Elangovan; Irene A Kuling; M Hongchul Sohn
Journal:  J Neurophysiol       Date:  2018-07-18       Impact factor: 2.714

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

6.  A Dynamical System Framework for Theorizing Preparatory Inhibition.

Authors:  Gerard Derosiere
Journal:  J Neurosci       Date:  2018-04-04       Impact factor: 6.167

7.  Highlights from the 2017 meeting of the Society for Neural Control of Movement (Dublin, Ireland).

Authors:  Juan Alvaro Gallego; Robert M Hardwick; Emily R Oby
Journal:  Eur J Neurosci       Date:  2017-09-04       Impact factor: 3.386

8.  Bayesian Computation through Cortical Latent Dynamics.

Authors:  Hansem Sohn; Devika Narain; Nicolas Meirhaeghe; Mehrdad Jazayeri
Journal:  Neuron       Date:  2019-07-15       Impact factor: 17.173

Review 9.  Cracking the Function of Layers in the Sensory Cortex.

Authors:  Hillel Adesnik; Alexander Naka
Journal:  Neuron       Date:  2018-12-05       Impact factor: 17.173

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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