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Conference papers
Explicit uncertainty for eye movement selection
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.
Keywords :
Probabilistic Models and Methods
Movement
Cited literature [14 references]
https://hal.archives-ouvertes.fr/hal-00331555
Contributor : Laurent Perrinet <>
Submitted on : Friday, October 17, 2008 - 10:35:33 AM
Last modification on : Thursday, July 9, 2020 - 9:44:33 AM
Document(s) archivé(s) le : Tuesday, October 9, 2012 - 1:56:03 PM
Contributor : Laurent Perrinet <>
Submitted on : Friday, October 17, 2008 - 10:35:33 AM
Last modification on : Thursday, July 9, 2020 - 9:44:33 AM
Document(s) archivé(s) le : Tuesday, October 9, 2012 - 1:56:03 PM
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NEUROCOMP2008_0012.pdf
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