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Explicit uncertainty for eye movement selection

By Francis Colas, Fabien Flacher, Pierre Bessiére and Benoît Girard

Abstract

ISBN : 978-2-9532965-0-1In this paper, we consider the issue of the selection of eye movements in an eye-free Multiple Object Tracking task. We propose a Bayesian model of retinotopic maps with a complex logarithmic mapping. This model is structured in two parts: a representation of the visual scene, and a decision model based on the representation. We compare different decision models based on different features of the representation and we show that taking into account uncertainty helps predict the eye movements of subjects recorded in a psychophysics experiment

Topics: Probabilistic Models and Methods, Movement, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SCCO.NEUR]Cognitive science/Neuroscience
Publisher: HAL CCSD
Year: 2008
OAI identifier: oai:HAL:hal-00331555v1
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