This is a Ma lab copy of the original GitHub repository and code base, kept here for archival purposes. Please go to https://github.com/lacerbi/ChangeProb for possible updates.
This repository accompanies the article by Norton et al. (2019) [1]. It includes human subjects' data and the code used for fitting and comparing the models reported in the paper.
Data: The data are stored in the ./data subfolder, in separate .mat files for each of the N = 11 subjects used in the paper. Each file contains a data struct, whose fields contain information about the sessions. Each struct contains information for both the covert-criterion task and for the overt-criterion task (800 trials each).
Models: All model files are stored in the ./matlab subfolder. The main file to run a model fit is changeprob_runfit.m. See the function description for more information about the inputs and outputs. An example run on one dataset and model (identified by model and data id 1) can be obtained with:
> changepoint_runfit(1,'marglike');
Example scripts to run the model fits on a computer cluster (using the Slurm workload manager) are in the ./scripts subfolder.
- Norton EH, Acerbi L, Ma WJ, Landy MS (2019) Human online adaptation to changes in prior probability. PLoS Comput Biol 15(7): e1006681. https://doi.org/10.1371/journal.pcbi.1006681 (link)
This code is released under the terms of the MIT License.