carolfs / note_analysis_2stage_tasks

Code for the simulations discussed in the paper "A note on the analysis of two-stage task results: how changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability" by C. Feher da Silva and Todd A. Hare.

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note_analysis_2stage_tasks

Code for the simulations discussed in the paper "A note on the analysis of two-stage task results: how changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability" by C. Feher da Silva and Todd A. Hare.

It is written in Python 3 and requires numpy, scipy, pandas, matplotlib, and sklearn.

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Code for the simulations discussed in the paper "A note on the analysis of two-stage task results: how changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability" by C. Feher da Silva and Todd A. Hare.

License:GNU General Public License v3.0


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Language:Python 100.0%