| Paper: | PS-2B.1 |
| Session: | Poster Session 2B |
| Location: | Symphony/Overture |
| Session Time: | Friday, September 7, 19:30 - 21:30 |
| Presentation Time: | Friday, September 7, 19:30 - 21:30 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
The dynamics of frustration |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1235-0 |
| Authors: |
Bowen Fung, Dean Mobbs, Colin Camerer, California Institute of Technology, United States |
| Abstract: |
Frustration is a widely experienced emotional state that has been linked to a wide range of societal and individual issues. Early research developed a number of frameworks that exemplified frustration and frustrative non-reward in classical conditioning. However, contemporary approaches to reward learning - routinely used to precisely estimate psychological variables - have not been applied to frustration. These computational methods could help to identify under which conditions frustration arises, and whether the consequences of frustration play an adaptive role in behavior. Here we present an experimental approach that aims to measure and model the effect of frustrative non-reward on motor vigor, and to assess how frustration is represented and implemented in the brain. |
