bsfit.nodes.models.utils.fit_maxlogl

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

Fit stimulus feature estimates

Parameters

• database (pd.DataFrame) –

  dataset with columns:

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

• init_p (dict) – initial parameters

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

• prior_mode – (float): the mode of the prior

Returns

results of the fit

Return type

Dict[str, Any]