bsfit.nodes.models.utils.get_learnt_prior

bsfit.nodes.models.utils.get_learnt_prior(percept_space: numpy.ndarray, prior_mode: numpy.ndarray, k_prior: float, prior_shape: str, stim_mean_space)

calculate the learnt prior density

Parameters

• percept_space (np.ndarray) – percept space

• prior_mode (np.ndarray) – the mode of the prior

• k_prior (float) – the prior concentration

• prior_shape (str) – the function of the prior (‘vonMisesPrior’)

• stim_mean_space (np.ndarray) – stimulus feature space (1:1:360)

Returns

a matrix of learnt priors (stimulus feature space x measurement space)

Return type

(np.ndarray)