pyhgf.updates.prediction_error.continuous.continuous_node_value_prediction_error

pyhgf.updates.prediction_error.continuous.continuous_node_value_prediction_error(attributes, node_idx, edges=())

Compute the value prediction error of a state node.

The value prediction error \(\delta_j^{(k)}\) of a continuous state node is given by:

\[\delta_j^{(k)} = \mu_j^{k} - \hat{\mu}_j^{k}\]

See [1] for more details.

Parameters:

• attributes (dict) – The attributes of the probabilistic nodes.

• node_idx (int) – Pointer to the value parent node that will be updated.

• edges (tuple[AdjacencyLists, ...]) – Unused. Kept for API compatibility with callers that pass edges.

Returns:

The attributes of the probabilistic nodes.

Return type:

attributes

See also

continuous_node_volatility_prediction_error, continuous_node_prediction_error

References

[1]

Weber, L. A., Waade, P. T., Legrand, N., Møller, A. H., Stephan, K. E., & Mathys, C. (2026). The generalized hierarchical Gaussian filter. doi:10.7554/elife.110174.1