Published July 7, 2022 | Version 1.0.2
Software Open

Software for running the urgent pro- and antisaccade tasks

  • 1. Wake Forest School of Medicine

Description

This software (packaged as the zip file task_share_proanti.zip) accompanies the article titled "Exogenous capture accounts for fundamental differences between pro- and antisaccade performance" by AT Goldstein, TR Stanford, and E Salinas, eLife (2022).

The experimental results in the paper are based on behavioral data collected from human participants during performance of two tasks.  This sofware package comprises scripts and functions written in Matlab for the purpose of running those tasks, which are urgent versions of the classic prosaccade and antisaccade tasks. The scripts control the stimulus display and record the participant's responses either via a computer mouse (typically for development/debugging purposes) or via an EyeLink eye tracking system (typically for experimental data collection).  The code uses standard Matlab commands plus the Psychtoolbox 3 package, and requires Matlab to be installed.

Routines are also provided that process the collected mouse/eye movements and generate behavioral data matrices, i.e., arrays where each row represents one trial and each column represents a task variable (trial type, reaction time, participant's choice, etc.).  Behavioral analyses reported in the article are based on such processed data matrices.

Basic data about the software package are provided in the README file. Specific instructions for running the sofware and collecting behavioral data are detailed in the INSTRUCTIONS file. 

Notes

Version 1.0.2 included a file that was missing in the package (MyBeep.wav). Version 1.0.1 fixed a few typos and made other minor edits in the .txt files. Software development was supported by Grant R21MH120784 from the National Institute for Mental Health, by Grant R01EY025172 from the National Eye Institute, and by training grant T32NS073553-01 from the National Institute for Neurological Disorders and Stroke.

Files

README.txt

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Additional details

Related works

Is referenced by
Journal article: 10.7554/eLife.76964 (DOI)