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  Bayesian models of eye movement selection with retinotopic maps

Colas, F., Flacher, F., Tanner, T., Bessiere, P., & Girard, B. (2009). Bayesian models of eye movement selection with retinotopic maps. Biological Cybernetics, 100(3), 203-214. doi:10.1007/s00422-009-0292-y.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C585-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-BA8B-0
Genre: Journal Article

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 Creators:
Colas, F, Author
Flacher, F, Author
Tanner, TG1, 2, Author              
Bessiere, P, Author
Girard, B, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Among the various possible criteria guiding eye movement selection, we investigate the role of position uncertainty in the peripheral visual eld. In particular, we suggest that, in everyday life situations of object tracking, eye movement selection probably includes a principle of reduction of uncertainty. To do so, we confront the movement predictions of computational models with human results from a psychophysical task. This task is a freely moving eye version of the Multiple Object Tracking task with the eye movements possibly compensating for lower peripheral resolution. We design several Bayesian models of increasing complexity, whose layered structures are inspired by the neurobiology of the brain areas implied in eye movement selection. Finally, we compare the relative performances of these models with regard to the prediction of the recorded human movements, and show the advantage of taking explicitly into account uncertainty for the prediction of eye movements.

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 Dates: 2009-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s00422-009-0292-y
BibTex Citekey: 5451
 Degree: -

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Title: Biological Cybernetics
  Other : Biol. Cybern.
Source Genre: Journal
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Publ. Info: Berlin : Springer
Pages: - Volume / Issue: 100 (3) Sequence Number: - Start / End Page: 203 - 214 Identifier: ISSN: 0340-1200
CoNE: https://pure.mpg.de/cone/journals/resource/954927549307