Abstract : In 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.
https://hal.archives-ouvertes.fr/hal-00331555
Contributeur : Laurent Perrinet
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Soumis le : vendredi 17 octobre 2008 - 10:35:33
Dernière modification le : vendredi 4 janvier 2019 - 01:23:33
Document(s) archivé(s) le : mardi 9 octobre 2012 - 13:56:03
Francis Colas, Fabien Flacher, Pierre Bessiére, Benoît Girard. Explicit uncertainty for eye movement selection. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. 〈hal-00331555〉
