BCI Toolbox documentation

Source for the public BCI Toolbox documentation. BCI Toolbox fits and simulates Bayesian causal inference models of multisensory perception using a graphical interface or a reproducible Python API.

The documentation includes:

• installation and graphical-interface tutorials;
• one- and two-dimensional model fitting and simulation;
• the v0.3.0 programmatic workflow (Data → Model → Fit);
• parameter recovery, diagnostics, posterior-predictive checks, and plotting;
• a downloadable end-to-end tutorial notebook.

The Python package is maintained in evans1112/bcitoolbox and distributed through PyPI.

Build locally

python -m pip install -r docs/requirements.txt
sphinx-build -n -W -b html docs _build/html