# Biological Learning Algorithm **Entity class:** Scientific research target **Domain:** Neuroscience / Machine learning **Maturity:** Developed ## Definition A biological learning algorithm is a hypothesized computational description of how nervous systems update behavior and internal representations using local biological processes. ## Mechanism and significance Discovering mechanisms that differ from backpropagation could change the cost, data efficiency, and hardware assumptions of artificial learning. ## 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:** [[Text-Free Neural Model]] · [[Image-Native Cognition]] · [[C. elegans Whole-Brain Simulation]] · [[Liquid AI]] ## 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. ## Simple Reminders, Quotations, and Thoughts > Artificial neural networks are trained through gradient descent, yet biology has not revealed anything clearly equivalent in the brain. Detailed neural imaging may uncover the actual algorithm that changes synaptic weights—and that discovery could make machine learning ten, a hundred, a thousand, or even a million times more efficient. > **— Adapted from Dave Blundin**, *MOONSHOTS Live, October 2026* [[reminders/Biotechnology/Biology May Reveal a Learning Algorithm Far Beyond Gradient Descent by Dave Blundin|Biology May Reveal a Learning Algorithm Far Beyond Gradient Descent by Dave Blundin]]