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Related Experiment Videos

Trial by trial effects in the antisaccade task.

Benjamin W Tatler1, Samuel B Hutton

  • 1Department of Psychology, University of Dundee, Dundee, DD1 4HN, Scotland, UK.

Experimental Brain Research
|December 1, 2006
PubMed
Summary
This summary is machine-generated.

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Antisaccade task performance is influenced by previous trial outcomes. Errors on one trial can persist, increasing errors on the next, contrary to some cognitive control models.

Area of Science:

  • Cognitive Neuroscience
  • Experimental Psychology

Background:

  • The antisaccade task measures goal-directed behavior by requiring participants to look away from a visual target.
  • Cognitive control models predict trial-by-trial adjustments in antisaccade performance based on prior outcomes.
  • Repetition priming suggests previous target location can also impact current performance.

Purpose of the Study:

  • To investigate the influence of previous trial outcomes on antisaccade task performance.
  • To analyze contingency effects in antisaccade performance using a large dataset.
  • To refine understanding of cognitive control and behavioral modulation.

Main Methods:

  • Utilized a large dataset of antisaccade task performance.
  • Employed multilevel modeling analysis to examine trial-to-trial dependencies.

Related Experiment Videos

  • Analyzed effects of correct antisaccades, errors, and error-correction types on subsequent trials.

    • Main Results:

    • Observed repetition priming effects following correct antisaccades.
    • Found increased antisaccade error rates following previous errors, contradicting some cognitive control models.
    • Demonstrated that current trial reaction times varied based on the previous trial's outcome (correct, slow error correction, fast error correction).

    Conclusions:

    • Previous trial outcomes significantly modulate antisaccade performance.
    • Failures in maintaining task goals can extend beyond a single trial.
    • Multilevel modeling is a valuable tool for analyzing complex antisaccade data and understanding cognitive control mechanisms.