Document Detail


Error generalization as a function of velocity and duration: human reaching movements.
MedLine Citation:
PMID:  18030456     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Our sensory-motor control system has a remarkable ability to adapt to novel dynamics during reaching movements and generalizes this adaptation to movements made in different directions, positions and even speeds. The degree and pattern of this generalization are of great importance in deducing the underlying mechanisms that govern our motor control. In this report we expand our knowledge on the generalization between movements made at different speeds. We wished to determine the pattern of generalization between different speed and duration movements on a trial-by-trial basis. In addition, we tested three hypotheses for the pattern of generalization. The first hypothesis was that the generalization was maximum for the speed of the movement just made with a linear decrease in generalization as one moves away from that preferred speed. The second was that the generalization is always highest for the fastest speed movements and linearly decreases with speed. The last hypothesis came from our preliminary results, which suggested that the generalization plateaus. Human subjects made targeted reaching movements at four different maximum speeds (15, 35, 55 and 75 cm/s) presented in pseudorandom order to one spatial target (15 cm extent) while holding onto a robotic manipulandum that produced a viscous curl field. Catch trials (trial where the curl field was unexpectedly removed) were used to probe the generalization between the four speed/durations on a movement-by-movement basis. We found that the pattern of generalization was linear between the first three speed categories (15-55 cm/s), but plateaued after the 55 cm/s category. We compared the subjects' results with a simulated adaptive controller that used a population code by combining the output of basis elements. These basis elements encoded limb velocity and associated this with a force expectation at that velocity. We found that using a basis set of Gaussians the adaptive controller produced movements that generalized in virtually the exact manner as the subjects, as we have previously demonstrated for movements made to different spatial targets. Thus, the human internal model may employ such a population code.
Authors:
Joseph T Francis
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2007-11-20
Journal Detail:
Title:  Experimental brain research     Volume:  186     ISSN:  1432-1106     ISO Abbreviation:  Exp Brain Res     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-02-28     Completed Date:  2008-08-06     Revised Date:  2013-12-13    
Medline Journal Info:
Nlm Unique ID:  0043312     Medline TA:  Exp Brain Res     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  23-37     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Arm / innervation,  physiology*
Hand / innervation,  physiology*
Humans
Models, Biological
Motor Activity / physiology
Movement / physiology*
Psychomotor Performance / physiology*
Reaction Time
Robotics
Space Perception / physiology
Grant Support
ID/Acronym/Agency:
2-R01-NS037422/NS/NINDS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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