pyhgf.response.first_level_gaussian_surprise#

pyhgf.response.first_level_gaussian_surprise(hgf, response_function_inputs=None, response_function_parameters=None)[source]#

Gaussian surprise at the first level of a probabilistic network.

Note

The Gaussian surprise at the first level is the default method to compute surprise for continuous models. The function returns jnp.inf if the model could not fit at a given time point.

Parameters:

  • hgf (HGF) – An instance of the HGF model.

  • response_function_inputs – The inputs to the response functions, not required here.

  • response_function_parameters – Additionnal parameters for the response function, not required here.

Returns:

The model’s surprise given the input data.

Return type:

surprise