TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
This study introduces TVB C++, a streamlined and fast C++ Back-End for The Virtual Brain (TVB), a renowned platform and a benchmark tool for full-brain simulation. TVB C++ is engineered with speed as a primary focus while retaining the flexibility and ease of use characteristic of the original TVB platform. Positioned as a complementary tool, TVB serves as a prototyping platform, whereas TVB C++ becomes indispensable when performance is paramount, particularly for large-scale simulations and leveraging advanced computation facilities like supercomputers. Developed as a TVB-compatible Back-End, TVB C++ seamlessly integrates with the original TVB implementation, facilitating effortless usage. Users can easily configure TVB C++ to execute the same code as in TVB but with enhanced performance and parallelism capabilities. As a consequence, TVB C++ will enable the widespread use of individualized models that will open the possibility of designed tailored solutions at the individual patient level.
Authors
- Gustavo Patow (ORCID: https://orcid.org/0000-0002-1977-9101)
- Jan Fousek (ORCID: https://orcid.org/0000-0002-8371-2956)
- Viktor Jirsa (ORCID: https://orcid.org/0000-0002-8251-8860)
- Gustavo Deco (ORCID: https://orcid.org/0000-0002-8995-7583)
- Petra Ritter (ORCID: https://orcid.org/0000-0002-4643-4782)
- Michael Schirner (ORCID: https://orcid.org/0000-0001-8227-8476)
- Ignacio Martín (ORCID: https://orcid.org/0000-0002-1217-7546)
- Gorka Zamora‐López
Institutions
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Central European Institute of Technology (CZ)
- Universitat Pompeu Fabra (ES)
- Czech Academy of Sciences (CZ)
- Universitat de Girona (ES)
- Institut de Neurosciences des Systèmes (FR)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1002/advs.202406440
- Citations
- 1
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- European Commission
- Deutsche Forschungsgemeinschaft
- Agence Nationale de la Recherche
- Berlin Institute of Health
- Berlin University Alliance
- HORIZON EUROPE Framework Programme
- Agència de Gestió d'Ajuts Universitaris i de Recerca
- European Regional Development Fund
- Agencia Estatal de Investigación