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Psychonomic Bulletin & Review

, Volume 21, Issue 4, pp 907–934 | Cite as

ICAT: a computational model for the adaptive control of fixation durations

  • Hans A. Trukenbrod
  • Ralf Engbert
Theoretical Review

Abstract

Eye movements depend on cognitive processes related to visual information processing. Much has been learned about the spatial selection of fixation locations, while the principles governing the temporal control (fixation durations) are less clear. Here, we review current theories for the control of fixation durations in tasks like visual search, scanning, scene perception, and reading and propose a new model for the control of fixation durations. We distinguish two local principles from one global principle of control. First, an autonomous saccade timer initiates saccades after random time intervals (local-I). Second, foveal inhibition permits immediate prolongation of fixation durations by ongoing processing (local-II). Third, saccade timing is adaptive, so that the mean timer value depends on task requirements and fixation history (Global). We demonstrate by numerical simulations that our model qualitatively reproduces patterns of mean fixation durations and fixation duration distributions observed in typical experiments. When combined with assumptions of saccade target selection and oculomotor control, the model accounts for both temporal and spatial aspects of eye movement control in two versions of a visual search task. We conclude that the model provides a promising framework for the control of fixation durations in saccadic tasks.

Keywords

Computational modeling Eye movements Adaptive control Fixation duration 

Notes

Acknowledgments

We thank Casimir Ludwig and two anonymous reviewers for valuable comments on an earlier version of the manuscript and Petra Schienmann, as well as our student assistants, for their help during data collection. The research in this article was supported by grants from the Deutsche Forschungsgemeinschaft (DFG) to R.E. (EN 471/1 and Research Group 868 “Computational Modeling of Behavioral, Cognitive, and Neural Dynamics”). C and MATLAB code of the model can be downloaded at the Potsdam Mind Research Repository (PMR 2; http://read.psych.uni-potsdam.de).

Supplementary material

13423_2013_575_MOESM1_ESM.pdf (383 kb)
Online Resource 1 (ESM 383 kb)

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© Psychonomic Society, Inc. 2014

Authors and Affiliations

  1. 1.EB KognitionswissenschaftenUniversität PotsdamPotsdamGermany

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