data and code for analysis and figures in "Signed and unsigned reward prediction errors dynamically enhance learning and memory"
datafiles: includes all data, files should be loaded to "analysis&figures.ipynb"
models_RL_matlabCode: matlab drivers and models to fit reinforcement learning models to learning behavior in Experiment 1 ('exp1'), Experiment 2 ('exp2'), and to perform model recovery ('sims')
models_memory_stanCode: R driver and stan models for Bayesian hierarchical modeling of memory data (to be run separately for Experiment 1, and the instructed and incidental memory versions of Experiment 2; 3 models)
analysis&figures.ipynb: jupyter notebook including all analyses and figures in paper