pyhgf.updates.prediction_error.continuous.continuous_node_value_prediction_error#
- pyhgf.updates.prediction_error.continuous.continuous_node_value_prediction_error(attributes: Dict, node_idx: int) Array[source]#
Compute the value prediction error of a state node.
The value prediction error \(\delta_j^{(k)}\) of a continuous state node is given by:
\[\delta_j^{(k)} = \mu_j^{k} - \hat{\mu}_j^{k}\]- Parameters:
- attributes
The attributes of the probabilistic nodes.
- node_idx
Pointer to the value parent node that will be updated.
- 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