One number per person: what individualising a learning rate is worth, and for whom

Companion repository for the manuscript "Who needs calibration? A single adaptation rate sets where individualisation pays" (submitted to Behavior Research Methods). Contains analysis code, seven frozen analysis protocols with SHA-256 input manifests, figures, machine-readable result files, study protocols and supplementary methods. All behavioural data analysed are public at source: Piray & Daw (2024) Nat Commun 15 (github.com/payampiray/stovol-learning, commit 71121dc), OpenNeuro ds003772, OSF 4ng3e.