Modeling post-error behaviors to examine individual differences.
Anxiety emerges in late childhood and early adolescence, a period in which cognitive control is developing (Padilla et al., 2014). Cognitive control, specifically error monitoring by way of the error-related negativity (ERN), has been studied as a predictor for anxiety (Buzzell, Troller-Renfree, et al., 2017). Error monitoring involves the detection of errors which influences the regulation of behavior (Botvinick et al., 2001). Current literature has focused mainly on the initial detection of errors (error monitoring) and has largely neglected the implementation of cognitive control after errors, post-error processing (Schroder & Moser, 2014). Furthermore, it remains unknown why anxiety is associated with reduced error monitoring in younger children, but increased error monitoring during the transition to adolescence and into adulthood (Meyer, 2017).
This project utilizes drift diffusion modeling to examine post-error behavior and its relationship to anxiety across age.
For the manuscript "Exploring the role of post-error processing in social anxiety across development", the code used is located in the "code" folder and the data is located in the "input" folder in this repository. See the readmes in the respective folders for details about the files.
This main branch contains completed releases for this project. For all work-in-progress, please switch over to the dev branches.
| Name | Role |
|---|---|
| Olivia Stibolt | Formal analysis, Writing - original draft |
| Fabian Soto | Advising on computational modeling, Writing- review & editing |
| Jeremy Pettit | Data collection and management, Writing- review & editing |
| Yasmin Rey | Data collection and management, Writing- review & editing |
| George Buzzell | Supervision, Writing - review & editing |
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