pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error#
- pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error(attributes: Dict, time_step: float, edges: Tuple[AdjacencyLists, ...], node_idx: int, value: float, observed: bool, **args) Dict[source]#
Prediction error from a generic input node.
A generic input node receive an observation and pass it as it is to its value parents.
- Parameters:
- attributes
The attributes of the probabilistic nodes.
- time_step
The interval between the previous time point and the current time point.
- 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.- node_idx
Pointer to the value parent node that will be updated.
- value
The new observed value.
- observed
Whether value was observed or not.
- Returns:
- attributes
The 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