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- David J. Herzfeld
- Department of Biomedical Engineering, Laboratory for Computational Motor Control, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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- Pavan A. Vaswani
- Department of Neuroscience, Laboratory for Computational Motor Control, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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- Mollie K. Marko
- Department of Biomedical Engineering, Laboratory for Computational Motor Control, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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- Reza Shadmehr
- Department of Biomedical Engineering, Laboratory for Computational Motor Control, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
書誌事項
- 公開日
- 2014-09-12
- DOI
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- 10.1126/science.1253138
- 公開者
- American Association for the Advancement of Science (AAAS)
この論文をさがす
説明
<jats:title>Practice makes perfect — or does it?</jats:title> <jats:p> How do we learn from past errors? Herzfeld <jats:italic>et al.</jats:italic> found that when we practice a movement, the human brain has a memory for errors that is then used to learn faster in new conditions. This memory for error exists in parallel with motor memory's two traditional forms: memory of actions and memory of external perturbations. They also proposed a mathematical model for learning from errors. This model explained previous experimental results and predicted other major findings that they later verified experimentally. </jats:p> <jats:p> <jats:italic>Science</jats:italic> , this issue p. <jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" issue="6202" page="1349" related-article-type="in-this-issue" vol="345" xlink:href="10.1126/science.1253138">1349</jats:related-article> </jats:p>
収録刊行物
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- Science
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Science 345 (6202), 1349-1353, 2014-09-12
American Association for the Advancement of Science (AAAS)