Task-dependent motor learning

被引:16
|
作者
Kurtzer, I [1 ]
DiZio, P
Lackner, J
机构
[1] Queens Univ, Dept Anat & Cell Biol, Kingston, ON K7L 3N6, Canada
[2] Brandeis Univ, Ashton Graybiel Spatial Orientat Lab, Waltham, MA 02454 USA
[3] Brandeis Univ, Volen Ctr Complex Syst, Waltham, MA 02454 USA
关键词
task-dependent; motor learning; reaching; effort;
D O I
10.1007/s00221-003-1632-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
We examined whether task-dependent modulation was evident in a motor learning paradigm. Subjects performed reaching movements before, during, and after exposure to a novel force perturbation while adopting either a spatial goal, continue towards the target, or an effort goal, keep your effort profile the same. Before the perturbation, the hand trajectories were moderately straight and accurate regardless of the task. However, during and immediately after the perturbation, the reaches exhibited unambiguous task-dependent differences in both the initial and terminal periods of the reach. With the spatial goal, subjects showed terminal compensations to the force-induced displacements indicative of feedback control. In addition, feedforward control was evident in the smaller path deviations with continued exposure and the initial path aftereffects when the perturbation was removed. In contrast, when adopting an effort goal, subjects showed large and chronically deviated endpoints from the perturbation indicating an absence of feedback compensation. They also showed no feedforward adaptation during repeated exposure or visible aftereffects when the perturbation was removed. Therefore, both feedforward and feedback control mechanisms show task-dependent modulation in a motor learning paradigm.
引用
收藏
页码:128 / 132
页数:5
相关论文
共 50 条
  • [41] Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
    Kulvicius, Tomas
    Tamosiunaite, Minija
    Worgotter, Florentin
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 36 (01) : 498 - 509
  • [42] Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
    Kulvicius, Tomas
    Tamosiunaite, Minija
    Worgotter, Florentin
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 36 (01) : 498 - 509
  • [43] Learning-induced uncertainty reduction in perceptual decisions is task-dependent
    Yang, Feitong
    Wu, Qiong
    Li, Sheng
    FRONTIERS IN HUMAN NEUROSCIENCE, 2014, 8
  • [44] Predicting Gaze in Egocentric Video by Learning Task-Dependent Attention Transition
    Huang, Yifei
    Cai, Minjie
    Li, Zhenqiang
    Sato, Yoichi
    COMPUTER VISION - ECCV 2018, PT IV, 2018, 11208 : 789 - 804
  • [45] Compare Network with Task-dependent Embeddings for Few-shot Learning
    Chen, Lingwei
    Luo, Ronghua
    Zhang, Defu
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [46] Task-Dependent and Query-Dependent Subspace Learning for Cross-Modal Retrieval
    Wang, Li
    Zhu, Lei
    Yu, En
    Sun, Jiande
    Zhang, Huaxiang
    IEEE ACCESS, 2018, 6 : 27091 - 27102
  • [47] LEARNING TASK-DEPENDENT SPEECH VARIABILITY IN DISCRIMINATIVE ACOUSTIC MODEL ADAPTATION
    Sato, Shoei
    Oku, Takahiro
    Homma, Shinichi
    Kobayashi, Akio
    Imai, Toru
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 4910 - 4913
  • [48] Task-Dependent Differences in Learning by Subordinate and Dominant Wild Arabian Babblers
    Keynan, Oded
    Ridley, Amanda R.
    Lotem, Arnon
    ETHOLOGY, 2016, 122 (05) : 399 - 410
  • [49] Task-dependent mixed selectivity in the subiculum
    Ledergerber, Debora
    Battistin, Claudia
    Blackstad, Jan Sigurd
    Gardner, Richard J.
    Witter, Menno P.
    Moser, May-Britt
    Roudi, Yasser
    Moser, Edvard, I
    CELL REPORTS, 2021, 35 (08):
  • [50] MEMORY FOR PICTURES AND WORDS IS TASK-DEPENDENT
    SMITH, MC
    MAGEE, L
    BULLETIN OF THE PSYCHONOMIC SOCIETY, 1977, 10 (04) : 258 - 258