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Using perceptrons to explore the reorientation task
Authors:Michael R.W. Dawson  Debbie M. Kelly  Marcia L. Spetch  Brian Dupuis
Affiliation:1. Department of Psychology, University of Alberta, Edmonton, Alberta, Canada T6G 2P9;2. Department of Psychology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada S7N 5A5;1. Shanghai Key Laboratory of Magnetic Resonance & Department of Physics, East China Normal University, Shanghai 200062, China;2. Department of Psychology, Zhejiang Normal University, Jinhua City, Zhejiang Province 321004, China;3. Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China;4. China Resources WISCO General Hospital, China
Abstract:The reorientation task is a paradigm that has been used extensively to study the types of information used by humans and animals to navigate in their environment. In this task, subjects are reinforced for going to a particular location in an arena that is typically rectangular in shape. The subject then has to find that location again after being disoriented, and possibly after changes have been made to the arena. This task is used to determine the geometric and featural cues that can be used to reorient the agent in the arena. The purpose of the present paper is to present several simulation results that show that a simple neural network, a perceptron, can be used to generate many of the traditional findings that have been obtained using the reorientation task. These results suggest that reorientation task regularities can be explained without appealing to a geometric module that is a component of spatial processing.
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