• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

力场泛化与运动学习的内部表现。

Force field generalization and the internal representation of motor learning.

机构信息

Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, United States of America.

出版信息

PLoS One. 2019 Nov 19;14(11):e0225002. doi: 10.1371/journal.pone.0225002. eCollection 2019.

DOI:10.1371/journal.pone.0225002
PMID:31743347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6863527/
Abstract

When learning a new motor behavior, e.g. reaching in a force field, the nervous system builds an internal representation. Examining how subsequent reaches in unpracticed directions generalize reveals this representation. Although often studied, it is not known how this representation changes across training directions, or how changes in reach direction and the corresponding changes in limb impedance, influence these measurements. We ran a force field adaptation experiment using eight groups of subjects each trained on one of eight standard directions and then tested for generalization in the remaining seven directions. Generalization in all directions was local and asymmetric, providing limited and unequal transfer to the left and right side of the trained target. These asymmetries were not consistent in either magnitude or direction, even after correcting for changes in limb impedance. Relying on a standard model for generalization the inferred representations inconsistently shifted to one side or the other of their respective training direction. A second model that accounted for limb impedance and variations in baseline trajectories explained more data and the inferred representations were centered on their respective training directions. Our results highlight the influence of limb mechanics and impedance on psychophysical measurements and their interpretations for motor learning.

摘要

当学习新的运动行为,例如在力场中进行伸展,神经系统会构建内部表示。通过检查在未练习的方向上进行后续伸展的泛化情况,可以揭示这种表示。尽管经常进行研究,但尚不清楚这种表示如何随训练方向而变化,或者伸展方向的变化和相应的肢体阻抗变化如何影响这些测量。我们进行了一项力场适应实验,使用八组受试者,每组受试者分别在八个标准方向上进行训练,然后在其余七个方向上进行测试以进行泛化。所有方向的泛化都是局部和不对称的,对训练目标的左右两侧提供了有限且不均等的转移。即使在校正了肢体阻抗的变化后,这些不对称性在幅度和方向上也不一致。依赖于一种用于泛化的标准模型,推断的表示不一致地偏向于其各自训练方向的一侧或另一侧。第二个考虑了肢体阻抗和基线轨迹变化的模型解释了更多的数据,并且推断的表示集中在各自的训练方向上。我们的结果强调了肢体力学和阻抗对运动学习的心理物理学测量及其解释的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/6ece5db5a4f8/pone.0225002.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/9b2b282dd0cb/pone.0225002.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/f733ca029465/pone.0225002.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/17c37329bdb7/pone.0225002.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/2e8b40f2c79f/pone.0225002.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/6ece5db5a4f8/pone.0225002.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/9b2b282dd0cb/pone.0225002.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/f733ca029465/pone.0225002.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/17c37329bdb7/pone.0225002.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/2e8b40f2c79f/pone.0225002.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b763/6863527/6ece5db5a4f8/pone.0225002.g005.jpg

相似文献

1
Force field generalization and the internal representation of motor learning.力场泛化与运动学习的内部表现。
PLoS One. 2019 Nov 19;14(11):e0225002. doi: 10.1371/journal.pone.0225002. eCollection 2019.
2
Generalization and transfer of contextual cues in motor learning.运动学习中情境线索的泛化与迁移
J Neurophysiol. 2015 Sep;114(3):1565-76. doi: 10.1152/jn.00217.2015. Epub 2015 Jul 8.
3
Effects of human arm impedance on dynamics learning and generalization.人体手臂阻抗对动力学学习和泛化的影响。
J Neurophysiol. 2009 Jun;101(6):3158-68. doi: 10.1152/jn.91336.2008. Epub 2009 Apr 8.
4
Plan- versus motion-referenced generalization of fast and slow processes in reach adaptation.在伸手适应过程中快速和慢速过程的计划与运动参考泛化
J Neurophysiol. 2023 Apr 1;129(4):767-780. doi: 10.1152/jn.00294.2022. Epub 2023 Mar 8.
5
Motor memory is encoded as a gain-field combination of intrinsic and extrinsic action representations.运动记忆被编码为内在和外在动作表示的增益场组合。
J Neurosci. 2012 Oct 24;32(43):14951-65. doi: 10.1523/JNEUROSCI.1928-12.2012.
6
Motion state-dependent motor learning based on explicit visual feedback has limited spatiotemporal properties compared with adaptation to physical perturbations.与适应物理干扰相比,基于明确视觉反馈的运动状态相关运动学习的时空特性有限。
J Neurophysiol. 2024 Feb 1;131(2):278-293. doi: 10.1152/jn.00198.2023. Epub 2024 Jan 3.
7
Generalization via superposition: combined effects of mixed reference frame representations for explicit and implicit learning in a visuomotor adaptation task.基于叠加的泛化:在视动适应任务中,混合参考框架表示对显式和隐式学习的综合影响。
J Neurophysiol. 2019 May 1;121(5):1953-1966. doi: 10.1152/jn.00624.2018. Epub 2019 Apr 3.
8
Models of Motor Learning Generalization.运动学习泛化模型。
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:4714-4719. doi: 10.1109/EMBC.2018.8513182.
9
Gaze-specific motor memories for hand-reaching.手伸向特定目标的眼球运动记忆。
Curr Biol. 2022 Jun 20;32(12):2747-2753.e6. doi: 10.1016/j.cub.2022.04.065. Epub 2022 May 16.
10
The effects of training breadth on motor generalization.训练广度对运动泛化的影响。
J Neurophysiol. 2014 Dec 1;112(11):2791-8. doi: 10.1152/jn.00615.2013. Epub 2014 Sep 10.

引用本文的文献

1
Tiny visual latencies can profoundly impair implicit sensorimotor learning.微小的视觉潜伏期会严重损害内隐感觉运动学习。
Sci Rep. 2025 May 8;15(1):16084. doi: 10.1038/s41598-025-98652-2.
2
A comparison of force adaptation in toddlers and adults during a drawer opening task.一项关于幼儿和成人在抽屉打开任务中力量适应性的比较。
Sci Rep. 2025 Jan 29;15(1):3699. doi: 10.1038/s41598-025-87441-6.
3
The cerebellum acts as the analog to the medial temporal lobe for sensorimotor memory.小脑作为感觉运动记忆的内侧颞叶的模拟物。

本文引用的文献

1
Explicit and implicit contributions to learning in a sensorimotor adaptation task.在感觉运动适应任务中学习的显式和隐式贡献。
J Neurosci. 2014 Feb 19;34(8):3023-32. doi: 10.1523/JNEUROSCI.3619-13.2014.
2
Topographic generalization of tactile perceptual learning.触觉感知学习的地形泛化
J Exp Psychol Hum Percept Perform. 2014 Feb;40(1):15-23. doi: 10.1037/a0033200. Epub 2013 Jul 15.
3
Adaptation to dynamic environments displays local generalization for voluntary reaching movements.对动态环境的适应表现为随意伸手动作的局部泛化。
Proc Natl Acad Sci U S A. 2024 Oct 15;121(42):e2411459121. doi: 10.1073/pnas.2411459121. Epub 2024 Oct 7.
4
Motion state-dependent motor learning based on explicit visual feedback has limited spatiotemporal properties compared with adaptation to physical perturbations.与适应物理干扰相比,基于明确视觉反馈的运动状态相关运动学习的时空特性有限。
J Neurophysiol. 2024 Feb 1;131(2):278-293. doi: 10.1152/jn.00198.2023. Epub 2024 Jan 3.
5
Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment.理解内隐感觉运动适应是一种本体感觉再调整的过程。
Elife. 2022 Aug 15;11:e76639. doi: 10.7554/eLife.76639.
6
Random Practice Enhances Retention and Spatial Transfer in Force Field Adaptation.随机练习可增强力场适应中的记忆保持和空间迁移能力。
Front Hum Neurosci. 2022 May 4;16:816197. doi: 10.3389/fnhum.2022.816197. eCollection 2022.
7
Anterograde interference emerges along a gradient as a function of task similarity: A behavioural study.任务相似性作为一个梯度,会出现顺行干扰:一项行为学研究。
Eur J Neurosci. 2022 Jan;55(1):49-66. doi: 10.1111/ejn.15561. Epub 2021 Dec 20.
8
Direction-Specific Iterative Tuning of Motor Commands With Local Generalization During Randomized Reaching Practice Across Movement Directions.在跨运动方向的随机伸手练习期间,通过局部泛化对运动指令进行方向特异性迭代调整。
Front Neurorobot. 2021 Oct 29;15:651214. doi: 10.3389/fnbot.2021.651214. eCollection 2021.
9
Correction: Force field generalization and the internal representation of motor learning.更正:力场泛化与运动学习的内部表征。
PLoS One. 2020 Jan 16;15(1):e0227963. doi: 10.1371/journal.pone.0227963. eCollection 2020.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4050-2. doi: 10.1109/IEMBS.2011.6091006.
4
The binding of learning to action in motor adaptation.运动适应中学习与动作的结合。
PLoS Comput Biol. 2011 Jun;7(6):e1002052. doi: 10.1371/journal.pcbi.1002052. Epub 2011 Jun 23.
5
Perceptual learning and generalization resulting from training on an auditory amplitude-modulation detection task.基于听觉幅度调制检测任务训练的感知学习和泛化。
J Acoust Soc Am. 2011 Feb;129(2):898-906. doi: 10.1121/1.3531841.
6
Error correction, sensory prediction, and adaptation in motor control.运动控制中的纠错、感觉预测和适应。
Annu Rev Neurosci. 2010;33:89-108. doi: 10.1146/annurev-neuro-060909-153135.
7
Effects of human arm impedance on dynamics learning and generalization.人体手臂阻抗对动力学学习和泛化的影响。
J Neurophysiol. 2009 Jun;101(6):3158-68. doi: 10.1152/jn.91336.2008. Epub 2009 Apr 8.
8
Estimating the sources of motor errors for adaptation and generalization.估计适应和泛化中运动误差的来源。
Nat Neurosci. 2008 Dec;11(12):1454-61. doi: 10.1038/nn.2229. Epub 2008 Nov 16.
9
Modifiability of generalization in dynamics learning.动力学学习中泛化的可修改性。
J Neurophysiol. 2007 Dec;98(6):3321-9. doi: 10.1152/jn.00576.2007. Epub 2007 Oct 10.
10
Evolution of motor memory during the seconds after observation of motor error.观察运动错误后数秒内运动记忆的演变
J Neurophysiol. 2007 Jun;97(6):3976-85. doi: 10.1152/jn.01281.2006. Epub 2007 Apr 11.