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

Julia Trommershäuser, Laurence T. Maloney, Michael S. Landy

Research output: Contribution to journalArticlepeer-review

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. copy; 2003 Optical Society of America.

Original languageEnglish (US)
Pages (from-to)1419-1433
Number of pages15
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume20
Issue number7
DOIs
StatePublished - Jul 2003

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

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