bsfit.nodes.models.utils.simulate

bsfit.nodes.models.utils.simulate(database: pandas.core.frame.DataFrame, sim_p: dict, prior_shape: str, prior_mode: float, readout: str) → Dict[str, Any]

simulate estimate data per condition

Parameters

• database (pd.DataFrame) –

  dataset with columns:

  'stim_mean': the stimulus features (e.g., motion direction)
  'stim_std': the stimulus feature strengths
  'prior_mode': the mode of prior
  'prior_std': the std of the prior
  'prior_shape': the prior function (e.g., "vonMisesPrior")
  'estimate' (optional): the stimulus feature estimates
  

• sim_p (dict) – the simulation parameters

• prior_shape (str) – the prior function (“vonMisesPrior”)

• prior_mode (float) – the mode of the prior

Returns

record of simulation data

Return type

Dict[str, Any]