Decomposing response inhibition: A POMDP model.
A POMDP model reveals subtle, robust differences in inhibitory control related to ADHD scores in children, challenging traditional binary classifications.
- Why it matters: Understanding the variability in inhibitory control is crucial for diagnosing and treating psychiatric conditions like ADHD, yet current models overlook trial-by-trial dynamics and individual differences.
- What they did: The study formalized the Stop Signal Task as a POMDP and developed Transformer-encoded Simulation-Based Inference (TeSBI) to analyze behavioral data from 3,567 children, extracting individual computational parameters.
- The result: Children with higher ADHD scores showed decreased directional precision and reduced sensitivity to errors, with a continuous distribution of traits supporting a dimensional view of neurodiversity, enabling scalable analysis of large datasets.