Related Experiment Video
Updated: Mar 17, 2026

12:10
Performing Behavioral Tasks in Subjects with Intracranial Electrodes
Published on: October 2, 2014
12.0K
IGT-Open: An open-source, computerized version of the Iowa Gambling Task.
Christopher L Dancy1, Frank E Ritter2
1Department of Computer Science, Bucknell University, Lewisburg, PA, 17837, USA. Christopher.Dancy@bucknell.edu.
Behavior Research Methods
|July 22, 2016
Summary
We developed IGT-Open, a free, open-source software for the Iowa Gambling Task (IGT). This tool ensures precise stimulus presentation for decision-making research and computational modeling.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Computational Modeling
Background:
- The Iowa Gambling Task (IGT) is a standard method for studying decision-making processes.
- Computerized versions enhance standardization and applicability in diverse research settings, including neuroimaging.
- Discrepancies across existing software implementations may affect experimental reliability.
Purpose of the Study:
- To introduce IGT-Open, a novel, open-source software implementation of the IGT.
- To provide a reliable and accurate tool for decision-making research and computational modeling.
- To facilitate standardized data collection across studies and research environments.
Main Methods:
- Development of an open-source software package, IGT-Open.
- Implementation of millisecond-level visual presentation accuracy.
- Validation through data collection with human subjects and computational simulations within the ACT-R architecture.
Main Results:
- IGT-Open provides precise control over stimulus presentation timing.
- The software has been successfully employed in empirical data collection.
- It is compatible with computational process models, specifically those in the ACT-R architecture.
Conclusions:
- IGT-Open offers a reliable, accessible, and accurate platform for IGT research.
- This open-source tool promotes standardization and reproducibility in decision-making studies.
- It supports both empirical investigation and computational modeling of decision-making behavior.

