Literature DB >> 30710333

CHAP: Open-source software for processing and analyzing pupillometry data.

Ronen Hershman1,2, Avishai Henik3,4, Noga Cohen5,6.   

Abstract

Pupil dilation is an effective indicator of cognitive and affective processes. Although several eyetracker systems on the market can provide effective solutions for pupil dilation measurement, there is a lack of tools for processing and analyzing the data provided by these systems. For this reason, we developed CHAP: open-source software written in MATLAB. This software provides a user-friendly graphical user interface for processing and analyzing pupillometry data. Our software creates uniform conventions for the preprocessing and analysis of pupillometry data and provides a quick and easy-to-use tool for researchers interested in pupillometry. To download CHAP or join our mailing list, please visit CHAP's website: http://in.bgu.ac.il/en/Labs/CNL/chap .

Keywords:  Bayesian analysis; GUI; MATLAB; Open-source code; Pupillometry

Mesh:

Year:  2019        PMID: 30710333     DOI: 10.3758/s13428-018-01190-1

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  13 in total

1.  Spotting rare items makes the brain "blink" harder: Evidence from pupillometry.

Authors:  Megan H Papesh; Juan D Guevara Pinto
Journal:  Atten Percept Psychophys       Date:  2019-11       Impact factor: 2.199

2.  Pupillometric contributions to deciphering Stroop conflicts.

Authors:  Ronen Hershman; Avishai Henik
Journal:  Mem Cognit       Date:  2020-02

3.  Neutral stimuli and pupillometric task conflict.

Authors:  Ronen Hershman; Yulia Levin; Joseph Tzelgov; Avishai Henik
Journal:  Psychol Res       Date:  2020-03-13

4.  The contribution of temporal analysis of pupillometry measurements to cognitive research.

Authors:  Ronen Hershman; Dalit Milshtein; Avishai Henik
Journal:  Psychol Res       Date:  2022-02-18

5.  Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis.

Authors:  Sebastiaan Mathôt; Ana Vilotijević
Journal:  Behav Res Methods       Date:  2022-08-26

6.  A pupillometric study of developmental and individual differences in cognitive effort in visual word recognition.

Authors:  Adi Shechter; Ronen Hershman; David L Share
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

7.  PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex.

Authors:  Joel T Martin; Joana Pinto; Daniel Bulte; Manuel Spitschan
Journal:  Behav Res Methods       Date:  2021-12-16

8.  Publication guidelines and recommendations for pupillary measurement in psychophysiological studies.

Authors:  Stuart R Steinhauer; Margaret M Bradley; Greg J Siegle; Kathryn A Roecklein; Annika Dix
Journal:  Psychophysiology       Date:  2022-04       Impact factor: 4.348

9.  Keeping an Eye on Effort: A Pupillometric Investigation of Effort and Effortlessness in Visual Word Recognition.

Authors:  Adi Shechter; David L Share
Journal:  Psychol Sci       Date:  2020-12-01

10.  Pupil dilation predicts individual self-regulation success across domains.

Authors:  Silvia U Maier; Marcus Grueschow
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.379

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