The Virtual Brain Ontology: A Digital Knowledge Framework for Reproducible Brain Network Modeling.

ABSTRACT: Computational models of brain network dynamics offer mechanistic insights into brain function and disease, and are utilized for hypothesis generation, data interpretation, and the creation of personalized digital brain twins. However, results remain difficult to reproduce and compare because equations, parameters, networks, and numerical settings are reported inconsistently across the literature, and shared code is often not fully documented, standardized, or executable. We introduce The Virtual Brain Ontology (TVB-O), a semantic knowledge base, minimal metadata standard, and Python toolbox that simplifies the description, execution, and sharing of network simulations. TVB-O offers 1) a common vocabulary and ontology for core concepts and axioms representing current domain knowledge

SUBMITTER: Martin L 

PROVIDER: S-EPMC12667764 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature