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Updated: Sep 23, 2026

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
Published on: August 2, 2018
Statistical decision theory and the selection of rapid, goal-directed movements
Julia Trommershäuser1, Laurence T Maloney, Michael S Landy
1Department of Psychology, Center for Neural Science, New York University, New York, New York 10003, USA. trommer@cns.nyu.edu
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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