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Statistical decision theory and the selection of rapid, goal-directed movements

Trommershäuser, Julia, Maloney, Laurence T., Landy, Michael S.·2003·Journal of the Optical Society of America A

Abstract

We present two experiments that test the range of applicability of a movement planning model (MEGaMove) based on statistical decision theory. Subjects attempted to earn money by rapidly touching a green target region on a computer screen while avoiding nearby red penalty regions. In two experiments we varied the magnitudes of penalties, the degree of overlap of target and penalty regions, and the number of penalty regions. Overall, subjects acted so as to maximize gain in a wide variety of stimulus configurations, in good agreement with predictions of the model.

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Show all 4 references

Research works printed but not linked: 22

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Metadata

Authors
Trommershäuser, J., Maloney, L. T., & Landy, M. S.
Venue
Journal of the Optical Society of America A
Published
2003-07-01
Volume
20
Issue
7
Pages
1419
ISSN
  • 1084-7529 (ISSN-L)
  • 1520-8532
OpenAlex
W1971904523
Cited by
283
References
4
FWCI
3.07
Type
journal article
Language
en
Open access
closed
Licence

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CoChat. (2026). Citation check: Statistical decision theory and the selection of rapid, goal-directed movements. https://app.cochat.ai/papers/10.1364/josaa.20.001419
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Trommershäuser, J., Maloney, L. T., & Landy, M. S. (2003). Statistical decision theory and the selection of rapid, goal-directed movements. Journal of the Optical Society of America A. https://doi.org/10.1364/josaa.20.001419

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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