Computational Modeling
Models physiological data, with Reinforcement Learning (RL), Bayesian (BL) and Null models. It requires Matlab optimisation toolbox and spm for the model comparison functions.
Function descriptions:
Reinforcement learning:
- Rescorla-Wagner (RW)
- Pearce Hall (PH)
- Hybrid Models (HM1-3)
- Temporal Difference (TD)
Bayesian models:
- Prior Mean (BL)
- Kullback–Leibler divergence between prior and posterior (KL)
- Expected surprise (BE)
- Hybrid models (BH1-2)
Null models:
- Precision or prior (VO)
- No learning (NL)