This repository contains all materials (slides & codes) from my BayesCog_v0.2 workshop.
UKE, Hamburg, 2018
- Unpack reinforcement learning model
- Add details of model comparison
- Add posterior predictive check for RL models
- Add justification for RPE signal (in model-based fMRI)
List of Folders and their Content
|02.binomial_globe||Globe toss||Binomial Model|
|03.bernoulli_coin||Coin flip||Bernoulli Model|
|04.regression_height||Observed weight and height||Linear regression model|
|05.regression_height_poly||Observed weight and height||Linear regression model|
|06.reinforcement_learning||2-armed bandit task||Simple reinforcement learning (RL)|
|07.optm_rl||2-armed bandit task||Simple reinforcement learning (RL)|
|08.compare_models||Probabilistic reversal learning task||Simple and fictitious RL models|
|09.debugging||Memory Retention||Exponential decay model|
|10.model_based||2-armed bandit task||Simple RL model|
|11.delay_discounting||Delay discounting task||Hyperbolic and exponential discounting model|
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