Literature DB >> 23124919

Dynamic primitives of motor behavior.

Neville Hogan1, Dagmar Sternad.   

Abstract

We present in outline a theory of sensorimotor control based on dynamic primitives, which we define as attractors. To account for the broad class of human interactive behaviors-especially tool use-we propose three distinct primitives: submovements, oscillations, and mechanical impedances, the latter necessary for interaction with objects. Owing to the fundamental features of the neuromuscular system-most notably, its slow response-we argue that encoding in terms of parameterized primitives may be an essential simplification required for learning, performance, and retention of complex skills. Primitives may simultaneously and sequentially be combined to produce observable forces and motions. This may be achieved by defining a virtual trajectory composed of submovements and/or oscillations interacting with impedances. Identifying primitives requires care: in principle, overlapping submovements would be sufficient to compose all observed movements but biological evidence shows that oscillations are a distinct primitive. Conversely, we suggest that kinematic synergies, frequently discussed as primitives of complex actions, may be an emergent consequence of neuromuscular impedance. To illustrate how these dynamic primitives may account for complex actions, we briefly review three types of interactive behaviors: constrained motion, impact tasks, and manipulation of dynamic objects.

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Mesh:

Year:  2012        PMID: 23124919      PMCID: PMC3735361          DOI: 10.1007/s00422-012-0527-1

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  61 in total

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2.  Control of fast-reaching movements by muscle synergy combinations.

Authors:  Andrea d'Avella; Alessandro Portone; Laure Fernandez; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

3.  Virtual trajectories of single-joint movements performed under two basic strategies.

Authors:  M L Latash; G L Gottlieb
Journal:  Neuroscience       Date:  1992       Impact factor: 3.590

4.  On the nature of the fundamental activity of the nervous centres; together with an analysis of the conditioning of rhythmic activity in progression, and a theory of the evolution of function in the nervous system.

Authors:  T G Brown
Journal:  J Physiol       Date:  1914-03-31       Impact factor: 5.182

5.  Improvement in linearity and regulation of stiffness that results from actions of stretch reflex.

Authors:  T R Nichols; J C Houk
Journal:  J Neurophysiol       Date:  1976-01       Impact factor: 2.714

6.  Endpoint stiffness of the arm is directionally tuned to instability in the environment.

Authors:  David W Franklin; Gary Liaw; Theodore E Milner; Rieko Osu; Etienne Burdet; Mitsuo Kawato
Journal:  J Neurosci       Date:  2007-07-18       Impact factor: 6.167

7.  Energy margins in dynamic object manipulation.

Authors:  Christopher J Hasson; Tian Shen; Dagmar Sternad
Journal:  J Neurophysiol       Date:  2012-05-16       Impact factor: 2.714

8.  Quantization of continuous arm movements in humans with brain injury.

Authors:  H I Krebs; M L Aisen; B T Volpe; N Hogan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

Review 9.  Sensorimotor control of contact force.

Authors:  John F Soechting; Martha Flanders
Journal:  Curr Opin Neurobiol       Date:  2008-12-08       Impact factor: 6.627

10.  Changing motor synergies in chronic stroke.

Authors:  L Dipietro; H I Krebs; S E Fasoli; B T Volpe; J Stein; C Bever; N Hogan
Journal:  J Neurophysiol       Date:  2007-06-06       Impact factor: 2.714

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  51 in total

1.  Discovery and recognition of motion primitives in human activities.

Authors:  Marta Sanzari; Valsamis Ntouskos; Fiora Pirri
Journal:  PLoS One       Date:  2019-04-01       Impact factor: 3.240

2.  Individual patterns of motor deficits evident in movement distribution analysis.

Authors:  Felix C Huang; James L Patton
Journal:  IEEE Int Conf Rehabil Robot       Date:  2013-06

3.  Neural Encoding and Representation of Time for Sensorimotor Control and Learning.

Authors:  Ramesh Balasubramaniam; Saskia Haegens; Mehrdad Jazayeri; Hugo Merchant; Dagmar Sternad; Joo-Hyun Song
Journal:  J Neurosci       Date:  2020-12-30       Impact factor: 6.167

4.  Model of rhythmic ball bouncing using a visually controlled neural oscillator.

Authors:  Guillaume Avrin; Isabelle A Siegler; Maria Makarov; Pedro Rodriguez-Ayerbe
Journal:  J Neurophysiol       Date:  2017-08-09       Impact factor: 2.714

5.  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

6.  The primacy of rhythm: how discrete actions merge into a stable rhythmic pattern.

Authors:  Zhaoran Zhang; Dagmar Sternad
Journal:  J Neurophysiol       Date:  2018-12-19       Impact factor: 2.714

7.  CONTROLLING PHYSICAL INTERACTIONS: HUMANS DO NOT MINIMIZE MUSCLE EFFORT.

Authors:  Ryan Koeppen; Dagmar Sternad; Meghan E Huber; Neville Hogan
Journal:  Proc ASME Dyn Syst Control Conf       Date:  2017-10

8.  MIT-Skywalker: A Novel Gait Neurorehabilitation Robot for Stroke and Cerebral Palsy.

Authors:  Tyler Susko; Krithika Swaminathan; Hermano Igo Krebs
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-02-25       Impact factor: 3.802

Review 9.  Motor primitives and synergies in the spinal cord and after injury--the current state of play.

Authors:  Simon F Giszter; Corey B Hart
Journal:  Ann N Y Acad Sci       Date:  2013-03       Impact factor: 5.691

10.  Task-specific stability in muscle activation space during unintentional movements.

Authors:  Ali Falaki; Farzad Towhidkhah; Tao Zhou; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-08-06       Impact factor: 1.972

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