# Cross-Modal Neural Decoding **Domain:** Computational Neuroscience / Multimodal AI **Doc Type:** Emerging Concept Node **Maturity:** Research Frontier **Related:** [[Neural Decoding]], [[Multimodal Neural Data]], [[Generative BCI Decoding]] --- ## Definition **Cross-modal neural decoding** aligns neural measurements with representations in another modality, such as speech, text, images, movement, or sensory stimuli. It requires an explicit temporal and semantic correspondence between the neural source and the target domain. ## Architectural role Cross-modal systems depend on synchronization, shared embeddings or intermediate representations, and careful separation of signal-derived information from correlations learned in the target model.