Literature DB >> 33444434

Micro-pursuit: A class of fixational eye movements correlating with smooth, predictable, small-scale target trajectories.

Kevin Parisot1,2, Steeve Zozor3,4, Anne Guérin-Dugué3,5, Ronald Phlypo3,6, Alan Chauvin7,8.   

Abstract

Humans generate ocular pursuit movements when a moving target is tracked throughout the visual field. In this article, we show that pursuit can be generated and measured at small amplitudes, at the scale of fixational eye movements, and tag these eye movements as micro-pursuits. During micro-pursuits, gaze direction correlates with a target's smooth, predictable target trajectory. We measure similarity between gaze and target trajectories using a so-called maximally projected correlation and provide results in three experimental data sets. A first observation of micro-pursuit is provided in an implicit pursuit task, where observers were tasked to maintain their gaze fixed on a static cross at the center of screen, while reporting changes in perception of an ambiguous, moving (Necker) cube. We then provide two experimental paradigms and their corresponding data sets: a first replicating micro-pursuits in an explicit pursuit task, where observers had to follow a moving fixation cross (Cross), and a second with an unambiguous square (Square). Individual and group analyses provide evidence that micro-pursuits exist in both the Necker and Cross experiments but not in the Square experiment. The interexperiment analysis results suggest that the manipulation of stimulus target motion, task, and/or the nature of the stimulus may play a role in the generation of micro-pursuits.

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Mesh:

Year:  2021        PMID: 33444434      PMCID: PMC7838552          DOI: 10.1167/jov.21.1.9

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  74 in total

1.  Determiners of the drift of the eye during monocular fixation.

Authors:  J NACHMIAS
Journal:  J Opt Soc Am       Date:  1961-07

2.  Precision of sustained fixation in trained and untrained observers.

Authors:  Claudia Cherici; Xutao Kuang; Martina Poletti; Michele Rucci
Journal:  J Vis       Date:  2012-06-22       Impact factor: 2.240

3.  Microsaccades are triggered by low retinal image slip.

Authors:  Ralf Engbert; Konstantin Mergenthaler
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-21       Impact factor: 11.205

4.  Toward a model of microsaccade generation: the case of microsaccadic inhibition.

Authors:  Martin Rolfs; Reinhold Kliegl; Ralf Engbert
Journal:  J Vis       Date:  2008-08-06       Impact factor: 2.240

Review 5.  Microsaccades: small steps on a long way.

Authors:  Martin Rolfs
Journal:  Vision Res       Date:  2009-08-13       Impact factor: 1.886

6.  Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

Authors:  Franz Faul; Edgar Erdfelder; Axel Buchner; Albert-Georg Lang
Journal:  Behav Res Methods       Date:  2009-11

7.  Automated classification and scoring of smooth pursuit eye movements in the presence of fixations and saccades.

Authors:  Oleg V Komogortsev; Alex Karpov
Journal:  Behav Res Methods       Date:  2013-03

8.  Eye movements and the after-image. II. The effect of foveal and non-foveal after-images on saccadic behaviour.

Authors:  S Heywood; J Churcher
Journal:  Vision Res       Date:  1972-05       Impact factor: 1.886

9.  The ocular following reflex elicited from the retinal periphery in the cat.

Authors:  A Michalski; M Kossut; B Zernicki
Journal:  Vision Res       Date:  1977       Impact factor: 1.886

10.  Causal Inference and Explaining Away in a Spiking Network.

Authors:  Rubén Moreno-Bote; Jan Drugowitsch
Journal:  Sci Rep       Date:  2015-12-01       Impact factor: 4.379

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