brainmass.list_models#
- brainmass.list_models()[source]#
Return the catalogue of public neural-mass models.
- Returns:
One typed record per user-facing model, giving its name, category, number of state variables, and a one-line typical use case.
- Return type:
See also
brainmass.list_models.to_tablea plain-text rendering of the same data.
Examples
>>> import brainmass >>> models = brainmass.list_models() >>> {m.name for m in models} >= {'HopfStep', 'JansenRitStep'} True >>> next(m for m in models if m.name == 'JansenRitStep').n_state_vars 6