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Cited by 873

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories

Open access
Krakauer, John W., Pine, Zachary M., Ghilardi, Maria-Felice, Ghez, Claude·2000·The Journal of Neuroscience

Abstract

The planning of visually guided reaches is accomplished by independent specification of extent and direction. We investigated whether this separation of extent and direction planning for well practiced movements could be explained by differences in the adaptation to extent and directional errors during motor learning. We compared the time course and generalization of adaptation with two types of screen cursor transformation that altered the relationship between hand space and screen space. The first was a gain change that induced extent errors and required subjects to learn a new scaling factor. The second was a screen cursor rotation that induced directional errors and required subjects to learn new reference axes. Subjects learned a new scaling factor at the same rate when training with one or multiple target distances, whereas learning new reference axes took longer and was less complete when training with multiple compared with one target direction. After training to a single target, subjects were able to transfer learning of a new scaling factor to previously unvisited distances and directions. In contrast, generalization of rotation adaptation was incomplete; there was transfer across distances and arm configurations but not across directions. Learning a rotated reference frame only occurred after multiple target directions were sampled during training. These results suggest the separate processing of extent and directional errors by the brain and support the idea that reaching movements are planned as a hand-centered vector whose extent and direction are established via learning a scaling factor and reference axes.

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Crossref · 10.1523/jneurosci.20-23-08916.2000

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Metadata

Authors
Krakauer, J. W., Pine, Z. M., Ghilardi, M.-F., & Ghez, C.
Venue
The Journal of Neuroscience
Published
2000-12-01
Volume
20
Issue
23
Pages
8916-8924
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2099869876
Cited by
873
References
30
FWCI
4.40
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories. https://app.cochat.ai/papers/10.1523/jneurosci.20-23-08916.2000
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Krakauer, J. W., Pine, Z. M., Ghilardi, M.-F., & Ghez, C. (2000). Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.20-23-08916.2000

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.