# Multimodal Neural Data Fusion **Domain:** Neuroinformatics / Machine Learning **Doc Type:** Technical Concept Node **Maturity:** Active Research **Related:** [[Multimodal Neural Data]], [[Precision Time Protocol]], [[Cross-Modal Neural Decoding]], [[BCI Metadata]] --- ## Definition **Multimodal neural data fusion** integrates information from two or more modalities into a joint representation, inference, or control signal. Fusion may occur at raw-data, feature, model, decision, or temporal-alignment levels. ## Architectural constraints Modalities differ in resolution, latency, noise, coordinate systems, and biological meaning. A valid fusion pipeline must preserve those differences, document alignment and calibration, and avoid treating correlated measurements as interchangeable observations.