Bayesian models of eye movement selection with retinotopic maps

Colas, Francis; Flacher, Fabien; Tanner, Thomas; Bessìère, Pierre; Girard, Benoît

doi:10.1007/s00422-009-0292-y

Cited by 10 publications

(9 citation statements)

References 29 publications

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“…Within observers, oculomotor processes are remarkably stable across repetitions of trials (Lukavský, 2013; see also Lukavský & Dĕchtĕrenko, 2016), however, properties of the moving objects themselves have been demonstrated to alter fixation behavior. For instance, the tendency to fixate the centroid increases with increasing object speeds (Huff, Papenmeier, Jahn, & Hesse, 2010) but decreases with increasing tracking load (Zelinsky & Neider, 2008) or reduced targetdistractor spacing (rescue saccades toward the individual targets that are in danger of getting lost; Zelinsky & Todor, 2010; see also Colas, Flacher, Tanner, Bessiere, & Girard, 2009). This overall pattern of results matches the idea of an automatic (and thus stimulus driven) formation of perceptual groups during tracking.…”

Section: Visual Index Theory (Finst Theory)supporting

confidence: 52%

Studying visual attention using the multiple object tracking paradigm: A tutorial review

Meyerhoff

Papenmeier

Huff

2017

Atten Percept Psychophys

103

116

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Human observers are capable of tracking multiple objects among identical distractors based only on their spatiotemporal information. Since the first report of this ability in the seminal work of Pylyshyn and Storm (1988, Spatial Vision, 3, 179-197), multiple object tracking has attracted many researchers. A reason for this is that it is commonly argued that the attentional processes studied with the multiple object paradigm apparently match the attentional processing during real-world tasks such as driving or team sports. We argue that multiple object tracking provides a good mean to study the broader topic of continuous and dynamic visual attention. Indeed, several (partially contradicting) theories of attentive tracking have been proposed within the almost 30 years since its first report, and a large body of research has been conducted to test these theories. With regard to the richness and diversity of this literature, the aim of this tutorial review is to provide researchers who are new in the field of multiple object tracking with an overview over the multiple object tracking paradigm, its basic manipulations, as well as links to other paradigms investigating visual attention and working memory. Further, we aim at reviewing current theories of tracking as well as their empirical evidence. Finally, we review the state of the art in the most prominent research fields of multiple object tracking and how this research has helped to understand visual attention in dynamic settings.

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Section: Visual Index Theory (Finst Theory)supporting

confidence: 52%

Studying visual attention using the multiple object tracking paradigm: A tutorial review

Meyerhoff

Papenmeier

Huff

2017

Atten Percept Psychophys

103

116

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“…Bottom panel shows the position of the targets (magenta) and objects (red) in the visual field. Reprinted from [15].…”

Section: Resultsmentioning

confidence: 99%

Maximum entropy perception-action space: a Bayesian model of eye movement selection

Colas¹,

Girard²,

Mohammad‐Djafari³

et al. 2011

AIP Conference Proceedings

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Abstract. In this article, we investigate the issue of the selection of eye movements in a free-eye 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. Finally, based on experimental data, we postulate that the complex logarithmic mapping has a functional relevance, as the density of objects in this space in more uniform than expected. This may indicate that the representation space and control strategies are such that the object density is of maximum entropy.

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“…Several models of cognitive systems, like the BAP model we presented here, have been developed in that context. They range from eye movement selection [56] to self-motion perception [57] and speech acquisition [58]. Their main feature is that they are structured models, as a pendant to classical computer science structured programs.…”

Section: Discussionmentioning

confidence: 99%

“…Another approach, inspired by psychophysics and widely applied in related research, is to first calibrate the model parameters on some experimental data of control conditions, and then validate the model by its ability to predict observations for test conditions. A third approach consists in defining variants of a model and comparing their adequacy to some experimental data using Bayesian model comparison [56], [66]. Because of the complexity of the BAP model, and its large number of internal parameters, such methods are inadequate for the BAP model.…”

Section: Discussionmentioning

confidence: 99%

Bayesian Action–Perception Computational Model: Interaction of Production and Recognition of Cursive Letters

2011

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In this paper, we study the collaboration of perception and action representations involved in cursive letter recognition and production. We propose a mathematical formulation for the whole perception–action loop, based on probabilistic modeling and Bayesian inference, which we call the Bayesian Action–Perception (BAP) model. Being a model of both perception and action processes, the purpose of this model is to study the interaction of these processes. More precisely, the model includes a feedback loop from motor production, which implements an internal simulation of movement. Motor knowledge can therefore be involved during perception tasks. In this paper, we formally define the BAP model and show how it solves the following six varied cognitive tasks using Bayesian inference: i) letter recognition (purely sensory), ii) writer recognition, iii) letter production (with different effectors), iv) copying of trajectories, v) copying of letters, and vi) letter recognition (with internal simulation of movements). We present computer simulations of each of these cognitive tasks, and discuss experimental predictions and theoretical developments.

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Bayesian models of eye movement selection with retinotopic maps

Cited by 10 publications

References 29 publications

Studying visual attention using the multiple object tracking paradigm: A tutorial review

Studying visual attention using the multiple object tracking paradigm: A tutorial review

Maximum entropy perception-action space: a Bayesian model of eye movement selection

Bayesian Action–Perception Computational Model: Interaction of Production and Recognition of Cursive Letters

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