Gabor-Bandit Analyses

This repository contains the analysis code for the Gabor-Bandit project. For the corresponding task code, go to the gaborbandit_task repository.

The code was used for the preprint

Bruckner, R., Heekeren, H. R., & Ostwald, D. (2020). Belief states and categorical-choice biases determine reward-based learning under perceptual uncertainty. bioRxiv.

Questions?

For questions, please get in touch with me: rasmusb@zedat.fu-berlin.de

with contributions from

This project is licensed under the MIT License - see the LICENSE file for details

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
gb_data		gb_data
.gitignore		.gitignore
GbAgent.py		GbAgent.py
GbAgentVars.py		GbAgentVars.py
GbEstVars.py		GbEstVars.py
GbEstimation.py		GbEstimation.py
GbSimVars.py		GbSimVars.py
GbTask.py		GbTask.py
GbTaskVars.py		GbTaskVars.py
LICENSE		LICENSE
PHat.py		PHat.py
README.md		README.md
gb_compute_misses.py		gb_compute_misses.py
gb_cumcoeff.py		gb_cumcoeff.py
gb_estimation.py		gb_estimation.py
gb_eval.py		gb_eval.py
gb_figure_1.py		gb_figure_1.py
gb_figure_2.py		gb_figure_2.py
gb_figure_3.py		gb_figure_3.py
gb_invcumcoeff.py		gb_invcumcoeff.py
gb_loaddata.py		gb_loaddata.py
gb_parallelest.py		gb_parallelest.py
gb_plot_utils.py		gb_plot_utils.py
gb_postpred.py		gb_postpred.py
gb_preprocessing.py		gb_preprocessing.py
gb_recovery.py		gb_recovery.py
gb_recovsim.py		gb_recovsim.py
gb_sampval.py		gb_sampval.py
gb_simulation.py		gb_simulation.py
gb_sm_figure_1.py		gb_sm_figure_1.py
gb_sm_figure_2.py		gb_sm_figure_2.py
gb_sm_figure_3.py		gb_sm_figure_3.py
gb_sm_figure_4.py		gb_sm_figure_4.py
gb_sm_figure_5.py		gb_sm_figure_5.py
gb_sm_figure_6.py		gb_sm_figure_6.py
gb_task_agent_int.py		gb_task_agent_int.py
latex_plt.py		latex_plt.py
run_postpred.py		run_postpred.py
truncate_colormap.py		truncate_colormap.py