Literature DB >> 26380041

Negative viscosity can enhance learning of inertial dynamics.

Felix C Huang1, James L Patton1, Ferdinando A Mussa-Ivaldi1.   

Abstract

We investigated how learning of inertial load manipulation is influenced by movement amplification with negative viscosity. Using a force-feedback device, subjects trained on anisotropic loads (5 orientations) with free movements in one of three conditions (inertia only, negative viscosity only, or combined), prior to common evaluation conditions (prescribed circular pattern with inertia only). Training with Combined-Load resulted in lower error (6.89±3.25%) compared to Inertia-Only (8.40±4.32%) and Viscosity-Only (8.17±4.13%) according to radial deviation analysis (% of trial mean radius). Combined-Load and Inertia-Only groups exhibited similar unexpected no-load trials (8.38±4.31% versus 8.91±4.70% of trial mean radius), which suggests comparable low-impedance strategies. These findings are remarkable since negative viscosity, only available during training, evidently enhanced learning when combined with inertia. Modeling analysis suggests that a feedforward after-effect of negative viscosity cannot predict such performance gains. Instead, results from Combined-Load training are consistent with greater feedforward inertia compensation along with a small increase in impedance control. The capability of the nervous system to generalize learning from negative viscosity suggests an intriguing new method for enhancing sensorimotor adaptation.

Entities:  

Year:  2009        PMID: 26380041      PMCID: PMC4568763          DOI: 10.1109/ICORR.2009.5209528

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  13 in total

1.  Augmented Feedback Presented in a Virtual Environment Accelerates Learning of a Difficult Motor Task.

Authors:  E Todorov; R Shadmehr; E Bizzi
Journal:  J Mot Behav       Date:  1997-06       Impact factor: 1.328

2.  Robot-assisted adaptive training: custom force fields for teaching movement patterns.

Authors:  James L Patton; Ferdinando A Mussa-Ivaldi
Journal:  IEEE Trans Biomed Eng       Date:  2004-04       Impact factor: 4.538

3.  The inertial anisotropy of the arm is accurately predicted during movement planning.

Authors:  J R Flanagan; S Lolley
Journal:  J Neurosci       Date:  2001-02-15       Impact factor: 6.167

4.  The role of inertial sensitivity in motor planning.

Authors:  P N Sabes; M I Jordan; D M Wolpert
Journal:  J Neurosci       Date:  1998-08-01       Impact factor: 6.167

5.  The human power amplifier technology at the University of California, Berkeley.

Authors:  H Kazerooni
Journal:  Rob Auton Syst       Date:  1996       Impact factor: 3.120

6.  Automating arm movement training following severe stroke: functional exercises with quantitative feedback in a gravity-reduced environment.

Authors:  Robert J Sanchez; Jiayin Liu; Sandhya Rao; Punit Shah; Robert Smith; Tariq Rahman; Steven C Cramer; James E Bobrow; David J Reinkensmeyer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2006-09       Impact factor: 3.802

7.  Hemiparetic stroke impairs anticipatory control of arm movement.

Authors:  Craig D Takahashi; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2003-01-30       Impact factor: 1.972

8.  One-Handed Juggling: A Dynamical Approach to a Rhythmic Movement Task.

Authors:  S. Schaal; C. G. Atkeson; D. Sternad
Journal:  J Mot Behav       Date:  1996-06       Impact factor: 1.328

9.  Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study.

Authors:  Leonard E Kahn; Michele L Zygman; W Zev Rymer; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2006-06-21       Impact factor: 4.262

10.  Using visual feedback distortion to alter coordinated pinching patterns for robotic rehabilitation.

Authors:  Yoky Matsuoka; Bambi R Brewer; Roberta L Klatzky
Journal:  J Neuroeng Rehabil       Date:  2007-05-30       Impact factor: 4.262

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