Author

R. Hoehndorf

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Review Open access Aug 2026

PhysioMap: an ontology-grounded causal knowledge graph of human physiology

Computational physiology needs representations that connect traits across biological scales while distinguishing causal, constitutive, and mathematical dependencies. We present PhysioMap, an ontology-grounded knowledge base of contextualized physiological traits and precisely defined relation types. A versioned project...

R. Hoehndorf, Paul N. Schofield, G. Gkoutos · bioRxiv · 0 citations

#artificial intelligence Jun 2026

A homotopy-type-theoretic generalization of neurosymbolic inference

A framework from scratch is developed for NeSy systems, a conservativity theorem is proved that recovers the classical functional when symmetries are trivial, and it is shown that the symmetry the framework exposes is exactly the one behind reasoning shortcuts.

Fernando Zhapa-Camacho, R. Hoehndorf · arXiv.org · 0 citations