pyhgf.updates.prediction_error.continuous.continuous_node_prediction_error#

pyhgf.updates.prediction_error.continuous.continuous_node_prediction_error(attributes: Dict, node_idx: int, edges: Tuple[AdjacencyLists, ...], **args) Dict[source]#

Store prediction errors in an input node.

Parameters:
attributes

The attributes of the probabilistic nodes.

.. note::

The parameter structure also incorporates the value and volatility coupling strength with children and parents (i.e. “value_coupling_parents”, “value_coupling_children”, “volatility_coupling_parents”, “volatility_coupling_children”).

node_idx

Pointer to the continuous node.

edges

The edges of the probabilistic nodes as a tuple of pyhgf.typing.Indexes. The tuple has the same length as the node number. For each node, the index lists the value and volatility parents and children.

Returns:
attributes

The updated attributes of the probabilistic nodes.

References

[1]

Weber, L. A., Waade, P. T., Legrand, N., Møller, A. H., Stephan, K. E., & Mathys, C. (2023). The generalized Hierarchical Gaussian Filter (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2305.10937