Visuomotor Learning Generalizes Around the Intended Movement

被引:51
作者
Day, Kevin A. [1 ,2 ]
Roemmich, Ryan T. [2 ,3 ]
Taylor, Jordan A. [4 ]
Bastian, Amy J. [2 ,3 ]
机构
[1] Johns Hopkins Univ, Dept Biomed Engn, Sch Med, Baltimore, MD 21205 USA
[2] Kennedy Krieger Inst, Mot Anal Lab, Baltimore, MD 21205 USA
[3] Johns Hopkins Univ, Sch Med, Dept Neurosci, Baltimore, MD 21205 USA
[4] Princeton Univ, Dept Psychol, Princeton, NJ 08540 USA
基金
美国国家卫生研究院;
关键词
adaptation; generalization; motor learning; reaching; upper extremity; visuomotor;
D O I
10.1523/ENEURO.0005-16.2016
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Human motor learning is useful if it generalizes beyond the trained task. Here, we introduce a new idea about how human visuomotor learning generalizes. We show that learned reaching movements generalize around where a person intends to move (i.e., aiming direction) as opposed to where they actually move. We used a visual rotation paradigm that allowed us to disentangle whether generalization is centered on where people aim to move, where they actually move, or where visual feedback indicates they moved. Participants reached to a visual target with their arm occluded from view. The cursor feedback was rotated relative to the position of their unseen hand to induce learning. Participants verbally reported their aiming direction, reached, and then were shown the outcome. We periodically introduced single catch trials with no feedback to measure learning. Results showed that learning was maximal at the participants' aiming location, and not at the actual hand position or where the cursor was displayed. This demonstrates that visuomotor learning generalizes around where we intend to move rather than where we actually move, and thus introduces a new role for cognitive processes beyond simply reducing movement error.
引用
收藏
页码:1165 / 1182
页数:12
相关论文
共 33 条
  • [11] Generalization of implicit and explicit adjustments to visuomotor rotations across the workspace in younger and older adults
    Heuer, Herbert
    Hegele, Mathias
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2011, 106 (04) : 2078 - 2085
  • [12] Distinct Motor Plans Form and Retrieve Distinct Motor Memories for Physically Identical Movements
    Hirashima, Masaya
    Nozaki, Daichi
    [J]. CURRENT BIOLOGY, 2012, 22 (05) : 432 - 436
  • [13] Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models
    Huang, Vincent S.
    Haith, Adrian
    Mazzoni, Pietro
    Krakauer, John W.
    [J]. NEURON, 2011, 70 (04) : 787 - 801
  • [14] Learning from Sensory and Reward Prediction Errors during Motor Adaptation
    Izawa, Jun
    Shadmehr, Reza
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2011, 7 (03)
  • [15] Learning of visuomotor transformations for vectorial planning of reaching trajectories
    Krakauer, JW
    Pine, ZM
    Ghilardi, MF
    Ghez, C
    [J]. JOURNAL OF NEUROSCIENCE, 2000, 20 (23) : 8916 - 8924
  • [16] Independent learning of internal models for kinematic and dynamic control of reaching
    Krakauer, JW
    Ghilardi, MF
    Ghez, C
    [J]. NATURE NEUROSCIENCE, 1999, 2 (11) : 1026 - 1031
  • [17] Probing the allocation of attention in implicit (motor) learning
    Lam, W. K.
    Maxwell, J. P.
    Masters, R. S. W.
    [J]. JOURNAL OF SPORTS SCIENCES, 2010, 28 (14) : 1543 - 1554
  • [18] An implicit plan overrides an explicit strategy during visuomotor adaptation
    Mazzoni, P
    Krakauer, JW
    [J]. JOURNAL OF NEUROSCIENCE, 2006, 26 (14) : 3642 - 3645
  • [19] Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning
    McDougle, Samuel D.
    Bond, Krista M.
    Taylor, Jordan A.
    [J]. JOURNAL OF NEUROSCIENCE, 2015, 35 (26) : 9568 - 9579
  • [20] Miyamoto YR, 2014, TRANSL COMP MOT CONT