pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error#

pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error(attributes: Dict, time_step: float, node_idx: int, edges: Tuple[AdjacencyLists, ...], value: float, observed: bool) → 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”).
time_step: The interval between the previous time point and the current time point.
node_idx: Pointer to the input 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.
value: The new observed value.
observed: Whether value was observed or not.

Returns:

attributes: The updated attributes of the probabilistic nodes.