What Is the Weather Prediction Task Good for? A New Analysis of Learning Strategies Reveals How Young Adults Solve the Task.

ABSTRACT: The Weather Prediction Task (WPT) was originally designed to assess probabilistic classification learning. Participants were believed to gradually acquire implicit knowledge about cue-outcome association probabilities and solve the task using a multicue strategy based on the combination of all cue-outcome probabilities. However, the cognitive processes engaged in the resolution of this task have not been firmly established, and despite conflicting results, the WPT is still commonly used to assess striatal or procedural learning capacities in various populations. Here, we tested young adults on a modified version of the WPT and performed novel analyses to decipher the learning strategies and cognitive processes that may support above chance performance. The majority of participants used a h

SUBMITTER: Bochud-Fragniere E 

PROVIDER: S-EPMC9234396 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature