Literature DB >> 17271341

Analysis of the synergies underlying complex hand manipulation.

E Todorov1, Z Ghahramani.   

Abstract

Coupling of actuators into motor synergies has been observed repeatedly, and is traditionally interpreted as a strategy for simplifying complex coordination problems. This view implies a small number of task-independent synergies. We have shown that optimal feedback control also gives rise to synergies in the absence of any simplification; the structure and number of such optimal synergies depends on the task. To compare these hypotheses, we recorded hand postures from a range of complex manipulation task. The structure of the synergies we extracted (via PCA) was task-dependent, and their number significantly exceeded previous observations in a simpler grasping task. Our results lend support to an optimal control explanation rather than a "simplicity" explanation.

Year:  2004        PMID: 17271341     DOI: 10.1109/IEMBS.2004.1404285

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  37 in total

1.  A MULTIVARIATE GAUSSIAN PROCESS FACTOR MODEL FOR HAND SHAPE DURING REACH-TO-GRASP MOVEMENTS.

Authors:  Lucia Castellanos; Vincent Q Vu; Sagi Perel; Andrew B Schwartz; Robert E Kass
Journal:  Stat Sin       Date:  2015-01       Impact factor: 1.261

2.  Learning new gait patterns: Exploratory muscle activity during motor learning is not predicted by motor modules.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan; Yasin Y Dhaher; William Z Rymer
Journal:  J Biomech       Date:  2016-02-10       Impact factor: 2.712

3.  Hierarchical and multiple hand action representation using temporal postural synergies.

Authors:  G Tessitore; C Sinigaglia; R Prevete
Journal:  Exp Brain Res       Date:  2012-12-11       Impact factor: 1.972

4.  Principal components of hand kinematics and neurophysiological signals in motor cortex during reach to grasp movements.

Authors:  Mohsen Mollazadeh; Vikram Aggarwal; Nitish V Thakor; Marc H Schieber
Journal:  J Neurophysiol       Date:  2014-07-02       Impact factor: 2.714

5.  Encoding of Both Reaching and Grasping Kinematics in Dorsal and Ventral Premotor Cortices.

Authors:  Kazutaka Takahashi; Matthew D Best; Noah Huh; Kevin A Brown; Adil A Tobaa; Nicholas G Hatsopoulos
Journal:  J Neurosci       Date:  2017-01-11       Impact factor: 6.167

6.  On identifying kinematic and muscle synergies: a comparison of matrix factorization methods using experimental data from the healthy population.

Authors:  Navid Lambert-Shirzad; H F Machiel Van der Loos
Journal:  J Neurophysiol       Date:  2016-11-16       Impact factor: 2.714

7.  Subject-specific muscle synergies in human balance control are consistent across different biomechanical contexts.

Authors:  Gelsy Torres-Oviedo; Lena H Ting
Journal:  J Neurophysiol       Date:  2010-04-14       Impact factor: 2.714

8.  Evidence of a novel somatopic map in the human neocerebellum during complex actions.

Authors:  J E Schlerf; T D Verstynen; R B Ivry; R M C Spencer
Journal:  J Neurophysiol       Date:  2010-04-14       Impact factor: 2.714

9.  A four-dimensional virtual hand brain-machine interface using active dimension selection.

Authors:  Adam G Rouse
Journal:  J Neural Eng       Date:  2016-05-11       Impact factor: 5.379

10.  The statistics of natural hand movements.

Authors:  James N Ingram; Konrad P Körding; Ian S Howard; Daniel M Wolpert
Journal:  Exp Brain Res       Date:  2008-03-28       Impact factor: 1.972

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