Year: 2025
Type: article
Abstract: 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.
Source: Advanced Science
Authors: Ignacio Martín, Gorka Zamora‐López, Jan Fousek, Michael Schirner, Petra Ritter, Viktor Jirsa, Gustavo Deco, Gustavo Patow
Institutions: Universitat de Girona, Universitat Pompeu Fabra, Czech Academy of Sciences, Czech Academy of Sciences, Institute of Computer Science, Central European Institute of Technology, Aix-Marseille Université, Central European Institute of Technology – Masaryk University, Institut de Neurosciences des Systèmes, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charité - Universitätsmedizin Berlin, Institució Catalana de Recerca i Estudis Avançats
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,730
Funders: Ministerio de Ciencia, Innovación y Universidades, European Commission, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Kinderherzen Fördergemeinschaft Deutsche Kinderherzzentren, Berlin Institute of Health, Berlin University Alliance, HORIZON EUROPE Framework Programme, European Research Council, Agència de Gestió d'Ajuts Universitaris i de Recerca, Horizon 2020, European Regional Development Fund, Agencia Estatal de Investigación, H2020 Excellent Science
Awards: G1107207269, G1117509749, G1190173965, G122987265, G1254224205, Virtual Brain Twin for personalised treatment of Psychiatric Disorders, G1389623154, G140313323, G1511124498, G1567786701, G1622782223, Integrating AI in Stroke Neurorehabilitation, G1790678784, G1833454833, G2126953732, G218033289, eBRAIN-Health - Actionable Multilevel Health Data, G2535781731, G2635815125, G2694737719, G2701466252, G2707994935, G274017309, G2745077440, G2789362503, G291036901, G2916232624, KFO 5023: BECAUSEY Berliner Zentrum für Diagnose, Verständnis und Behandlung von Antikörper(Y)vermittelten neurologischen Erkrankungen, G3160699921, G3177664660, G3259128177, SFB 1315: Mechanismen und Störungen der Gedächtniskonsolidierung: Von Synapsen zur Systemebene, Breakthrough Regulatory Innovation and Development throuGh sandbox Environments, G3480869486, EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health, G3735356012, G3742369756, G4172503106, G4172668492, EBRAINS Preparatory Phase, G434337789, G4371434765, G4510041740, G4649087444, G4709043792, G4753978541, G4921481610, G5063687180, G5421188231, Human Brain Project Specific Grant Agreement 2, G6033112984, TRR 295: Behandlung motorischer Netzwerkstörungen mittels Neuromodulation, G631355555, G639566799, Brain Health Trajectories, G6998418475, G7027461234, G7084143925, G7594015242, G7600724193, G8299783104, G8301431789, G8441428806, G849586709, G8580271377, G8681506169, Human Brain Project Specific Grant Agreement 3, SFB 936: MultiSite Communication in the Brain Funktionelle Kopplung neuronaler Aktivität im ZNS, G8957958493, SFB 1436: Neuronale Ressourcen der Kognition
OpenAlex ID: W4415276024