Release accompanying the version of the paper accepted at PLOS CB

This release accompanies the version of the paper that has been accepted at PLOS Computational Biology (https://doi.org/10.1371/journal.pcbi.1007593).

Changes

• Optimization functionality moved into a separate function optimize_design which can be called directly from Matlab, without reference to external config files
• fit_models modified such that it supports sequential model fitting (making dependency on the Parallel Computing Toolbox optional)
• Added BIC annotation for figures featuring model selection
• Added computation of odds ratios (ORs) for model selection scenarios
• Added the tutorial notebook for Scenario 2
• Linked to the Zenodo DOI and the PLOS CB DOI

Initial release of the code

This is the initial release of the code accompanying the paper "Computational optimization of associative learning experiments".