Open-source platform enhances decision-making studies with high-resolution behavioral data acquisition, suggesting improved research capabilities.
The Iowa Gambling Task (IGT) is widely used to investigate decision-making under uncertainty; however, many digital implementations provide limited configurability and insufficient temporal resolution of behavioral events. We present GoGamblerGo (GGG), an open-source platform for configurable IGT paradigms with high-resolution trial-level behavioral data acquisition. The system records deck selections, gain and loss outcomes, cumulative balance, and event-level timestamps for decision and feedback phases. Data are exported in standardized formats to support reproducible research and downstream analysis. Temporal validation of event-level timestamps and comparison with existing behavioral frameworks are included. GGG supports extended IGT and multimodal electrophysiological studies. • Open-source platform for configurable Iowa Gambling Task (IGT) paradigms. • Modular desktop architecture integrating task configuration and session execution. • Trial-level behavioral data acquisition with independent event-level time-stamped markers. • Relational database schema supporting structured storage and standardized export. • Compatible with multimodal experimental designs requiring precise temporal alignment.
No takes yet. Share an insight, caveat, or question.
Roman-Godinez et al. (2026) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: