Pinned Repositories
0002_Maayan-Pereg_free_vs_forced_learning
Maayan Pereg's Project Looking at a first experiment testing the teacher-student paradigm. Here, ~150 prolific participants perfomed three sessions. In the first two they repeated the teacher-student paradigm to allow reliability testing. In the third session, they completed IQ and self-report measures.
07_parameter_recovery_stan
2021_counterfactual_credit_assignment
2021_Working_memory
ADHD-TD-Multiple-armed-bandit-task-with-vibration-feedback-manipulation-analysis
bayesian_analysis_in_r
Hierarchical_bayesian_parameter_recovery_Qlearning_with_two_parameters
Parameter recovery examples for RL models using stan
Outcome-irrelevant-represntations-in-model-based-decision-making
This is an experiment examining whether the model-based system can aviod outcome-irrelevant features of the enviorment.
Qlearning_key_hierarchical_fitting_with_stan
Modeling Q value learning for key-responses dependent on working memory capacity.
working_memory_capacity_change_detection_task
Implementation of the change detection task aimed at measuring working memory capacity
Shahar Lab's Repositories
shahar-lab/working_memory_capacity_change_detection_task
Implementation of the change detection task aimed at measuring working memory capacity
shahar-lab/2021_counterfactual_credit_assignment
shahar-lab/bayesian_analysis_in_r
shahar-lab/ADHD-TD-Multiple-armed-bandit-task-with-vibration-feedback-manipulation-analysis
shahar-lab/experiment-template
shahar-lab/Flower-Task-Tal-ADHD_Analysis
R project for analyzing data from Tal's MA project
shahar-lab/task-python-Multiple-armed-bandit-with-vibration-feedback-manipulation
shahar-lab/Temporal-Decision-Making-Delayed-Rewards
shahar-lab/0004_Ido_Set-size_effects
shahar-lab/asd_oil
shahar-lab/Choice-RT-Animal-Sorting-Taks
shahar-lab/cognitive_overfitting_new_template
shahar-lab/compulsivity_simulations
shahar-lab/control_asd_oil
shahar-lab/difficulty_scarcity_task
shahar-lab/Flower-Task-Tal-ADHD
shahar-lab/Four-armed-bendit-delay-task-ISI-before-ITI-block
shahar-lab/harnessing_the_flexibility_of_nn_to_predict_dynamical
Supplementary code for the paper "Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior" by Ger, Y., Nachmani, E., Wolf, L., & Shahar, N. (2023).
shahar-lab/instructions_outcome_irrelevant
shahar-lab/instructions_outcome_irrelevant_control
shahar-lab/motivation_outcome_irrelevant
shahar-lab/multiple_features_task
shahar-lab/RLR
shahar-lab/rnn_4_armed_vas_predict_dynamical
shahar-lab/Task-Multi-armed-with-attentional-vas-reports-YaelVofsi
shahar-lab/template_computational_modeling_project
shahar-lab/unchosen_mf_mb_choice
shahar-lab/unchosen_mf_mb_learning
shahar-lab/using_rnn_to_estimate_irreducible_stochasticity
Supplementary code for the paper "Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior" by Ger, Y., Shahar, M., & Shahar, N. (2023).
shahar-lab/Xbox_features