Literature DB >> 23312524

Preference distributions of primary motor cortex neurons reflect control solutions optimized for limb biomechanics.

Timothy P Lillicrap1, Stephen H Scott.   

Abstract

Neurons in monkey primary motor cortex (M1) tend to be most active for certain directions of hand movement and joint-torque loads applied to the limb. The origin and function of these biases in preference distribution are unclear but may be key to understanding the causal role of M1 in limb control. We demonstrate that these distributions arise naturally in a network model that commands muscle activity and is optimized to control movements and counter applied forces. In the model, movement and load preference distributions matching those observed empirically are only evident when particular features of the musculoskeletal system were included: limb geometry, intersegmental dynamics, and the force-length/velocity properties of muscle were dominant factors in dictating movement preferences, and the presence of biarticular muscles dictated load preferences. Our results suggest a general principle: neural activity in M1 commands muscle activity and is optimized for the physics of the motor effector.
Copyright © 2013 Elsevier Inc. All rights reserved.

Mesh:

Year:  2013        PMID: 23312524     DOI: 10.1016/j.neuron.2012.10.041

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


  42 in total

1.  Primary motor cortex neurons classified in a postural task predict muscle activation patterns in a reaching task.

Authors:  Ethan A Heming; Timothy P Lillicrap; Mohsen Omrani; Troy M Herter; J Andrew Pruszynski; Stephen H Scott
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

2.  Temporal evolution of both premotor and motor cortical tuning properties reflect changes in limb biomechanics.

Authors:  Aaron J Suminski; Philip Mardoum; Timothy P Lillicrap; Nicholas G Hatsopoulos
Journal:  J Neurophysiol       Date:  2015-02-11       Impact factor: 2.714

3.  Motor adaptation and generalization of reaching movements using motor primitives based on spatial coordinates.

Authors:  Hirokazu Tanaka; Terrence J Sejnowski
Journal:  J Neurophysiol       Date:  2014-11-26       Impact factor: 2.714

4.  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

5.  Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding Networks.

Authors:  Yuhang Song; Thomas Lukasiewicz; Zhenghua Xu; Rafal Bogacz
Journal:  Adv Neural Inf Process Syst       Date:  2020

6.  Neural Representation and Causal Models in Motor Cortex.

Authors:  Kris S Chaisanguanthum; Helen H Shen; Philip N Sabes
Journal:  J Neurosci       Date:  2017-02-20       Impact factor: 6.167

7.  Musculoskeletal geometry accounts for apparent extrinsic representation of paw position in dorsal spinocerebellar tract.

Authors:  Raeed H Chowdhury; Matthew C Tresch; Lee E Miller
Journal:  J Neurophysiol       Date:  2017-04-05       Impact factor: 2.714

Review 8.  Perspectives on classical controversies about the motor cortex.

Authors:  Mohsen Omrani; Matthew T Kaufman; Nicholas G Hatsopoulos; Paul D Cheney
Journal:  J Neurophysiol       Date:  2017-06-14       Impact factor: 2.714

9.  Optimal feedback control to describe multiple representations of primary motor cortex neurons.

Authors:  Yuki Ueyama
Journal:  J Comput Neurosci       Date:  2017-06-01       Impact factor: 1.621

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

Authors:  Abigail A Russo; Sean R Bittner; Sean M Perkins; Jeffrey S Seely; Brian M London; Antonio H Lara; Andrew Miri; Najja J Marshall; Adam Kohn; Thomas M Jessell; Laurence F Abbott; John P Cunningham; Mark M Churchland
Journal:  Neuron       Date:  2018-02-01       Impact factor: 17.173

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