# Neural Encoding Model **Entity class:** Computational neuroscience model **Domain:** Neuroscience / Machine learning **Maturity:** Developed ## Definition A neural encoding model predicts measured neural activity from a stimulus, task, or environmental variable. ## Mechanism and significance Encoding models run in the direction from world to brain response; they can generate synthetic response targets, test hypotheses about representation, and complement decoders that run in the opposite direction. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Neural Decoding and Cognitive Systems|Neural Decoding and Cognitive Systems]] - **Primary fields:** [[Neural Decoding]] · [[Brain-Computer Interfaces]] · [[Functional Magnetic Resonance Imaging]] - **Adjacent concepts:** [[Brain-IT]] · [[Michal Irani]] · [[Reverse Brain Encoder]] · [[Synthetic fMRI Training Data]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.