CogLink

The dataset is used to generate the results in "The neural basis for uncertainty processing in hierarchical decision making". The corresponding code to run the dataset is in "https://github.com/brabeeba/CogLink-Network". Experiment 1 generates Figure 2b, S1a, S1c. Experiment 2 generates Figure 2c, S1b, S1c. Experiment 3, 4 generates previous lesion experiments but currently abolished from the paper. Experiment 5 generates figure Figure S3. Experiment 6 generates previous figures on augmented CogLink vs discounted thompson sampling. Also abolished in the current paper. Experiment 7 generates figure 6. Experiment 8 generates figure 6i, S6. Experiment 9 generates figure 7, S7. Experiment 11, 15 generate Figure S2d. Experiment 12 generates Figure 2i. Exepriment 13 generates Figure 4f, 4k. Experiment 14 generates Figure 4, 5. Experiment 16 generates Figure S2b. Experiment 17 generates Figure 5i. The dataset is stored via pickle.dump in python. To inspect the dataset manually, use pickle.load to read the dataset.