How is the toolbox organized?
The core toolbox contains code that can be used for:
- model-based data analysis
- model simulation
- experimental design optimization
In general, this toolbox requires you to design your own models. This usually consists of writing the so-called observation function. Many examples of such models and ensuing model inversion are provided.
In addition, wrappers for behavioural data analysis, in the context of experimental psychology studies, include:
- classical learning and decision-making models (e.g., Q-learning)
- intra-subject multiple session analysis
- inter-subject group analysis
- eyeballing results graphical tools
The code is organized into different folders and subfolders.