Neuroscientists, biophysicists, and researchers studying brain metabolism and the Free Energy Principle.
Applying Active Inference to model metabolic energy dynamics in the human brain.
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Energy Modeling Human Brain Metabolism applies Active Inference and the Free Energy Principle to model metabolic processes in the human brain. The project develops quantitative models of how the brain manages energy resources as an inference problem.
The brain is the body's most metabolically expensive organ. This project models how it manages energy — framing metabolic regulation as an active inference process where the brain predicts and minimizes surprises about its own metabolic state. The work connects neuroscience, physiology, and the Free Energy Principle. The project's roadmap includes publishing a literature review, building a first model, and running a large population study over the coming years.
Neuroscientists, biophysicists, and modelers with interests in brain metabolism and Active Inference are welcome.
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Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
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Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
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Python models and materials for ant-inspired multiagent Active Inference.
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Active Inference & Category Theory
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Active Entity Ontology for Science
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