Improvement in Hand Trajectory of Reaching Movements by Error-Augmentation

2018 ◽  
pp. 71-84 ◽  
Author(s):  
Sharon Israely ◽  
Gerry Leisman ◽  
Eli Carmeli
Keyword(s):  
Reaching Movements ◽  
Hand Trajectory

Hand trajectory invariance in reaching movements involving the trunk

2001 ◽  
Vol 138 (3) ◽  
pp. 288-303 ◽  
Author(s):  
Sergei Adamovich ◽  
Philippe Archambault ◽  
Mohammad Ghafouri ◽  
Mindy Levin ◽  
Howard Poizner ◽  
...  
Keyword(s):  
Reaching Movements ◽  
Hand Trajectory

Hand trajectory formation during whole body reaching movements in man

1998 ◽  
Vol 240 (3) ◽  
pp. 159-162 ◽  
Author(s):  
Thierry Pozzo ◽  
Joseph McIntyre ◽  
Guy Cheron ◽  
Charalambos Papaxanthis
Keyword(s):  
Reaching Movements ◽  
Whole Body ◽  
Hand Trajectory ◽  
Trajectory Formation

Visual context differentially mediates left- and right-hand reaching movements

2009 ◽  
Author(s):  
Jos J. Adam ◽  
Susan Hoonhorst ◽  
Rick Muskens ◽  
Jay Pratt ◽  
Martin H. Fischer
Keyword(s):  
Reaching Movements ◽  
Visual Context ◽  
Right Hand ◽  
Left And Right

Eye-hand reaching movements are controlled by a fronto-parietal network with distinct foci for the different functional subcomponents

2009 ◽  
Vol 36 (S 02) ◽  
Author(s):  
MF Nitschke ◽  
K Ludwig ◽  
G Vassilev ◽  
D Kömpf ◽  
F Binkofski
Keyword(s):  
Reaching Movements

scholarly journals Trial-by-Trial Adaptation of Movements during Mental Practice under Force Field

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Muhammad Nabeel Anwar ◽  
Salman Hameed Khan
Keyword(s):  
Nervous System ◽  
Force Field ◽  
Motor Imagery ◽  
Internal Model ◽  
Human Movement ◽  
Mental Practice ◽  
Higher Learning ◽  
Reaching Movements ◽  
Adaptive Compensation ◽  
Human Nervous System

Human nervous system tries to minimize the effect of any external perturbing force by bringing modifications in the internal model. These modifications affect the subsequent motor commands generated by the nervous system. Adaptive compensation along with the appropriate modifications of internal model helps in reducing human movement errors. In the current study, we studied how motor imagery influences trial-to-trial learning in a robot-based adaptation task. Two groups of subjects performed reaching movements with or without motor imagery in a velocity-dependent force field. The results show that reaching movements performed with motor imagery have relatively a more focused generalization pattern and a higher learning rate in training direction.

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