Explicit uncertainty for eye movement selection

Francis Colas (1) , Fabien Flacher (1) , Pierre Bessiére (2, 3) , Benoît Girard (1)

1 LPPA - Laboratoire de Physiologie de la Perception et de l'Action
2 LIG - Laboratoire d'Informatique de Grenoble
3 E-MOTION - Geometry and Probability for Motion and Action

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

Domains: Neurons and Cognition [q-bio.NC]; Neuroscience

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⟩