Conferences & Events


November 2022

Meet the team at SfN 2022 in San Diego 12.11.2022–16.11.2022

The TVB-Cloud Team will be exhibiting at Neuroscience 2022 along with its partner The Virtual Brain at the Booth 3116.
The SfN 2022 annual meeting is taking from November 12 to November 16, 2022, in San Diego, USA.

Visit the official website of Neuroscience 2022 event.

Visit The Virtual Brain website for the SfN activities.



October 2022

9th TVB-EBRAINS Integrated Workflows Workshop 07.10.2022
Digital Event

The 9th TVB-EBRAINS Integrated Workflows Workshop is taking place online on next October 7, 2022 from 11:30 to 15:00 (CEST).

The purpose of this Workshop Series is to discuss existing interfaces and workflows of TVB on EBRAINS that have been developed in SGA2 and those under development or being planned for SGA3.

Download the program.

Register to the workshop.


March 2022

8th TVB-EBRAINS Integrated Workflows Workshop 25.03.2022
Digital Event

TVB-EBRAINS Integrated Workflows - 8th Virtual Workshop will be held on March 25th.

The purpose of this Workshop Series is to discuss existing interfaces and workflows of TVB in EBRAINS that have been developed in SGA2 and those under development or being planned for SGA3.

Please register for the event here.


December 2021

7th TVB-EBRAINS Integrated Workflows Workshop 17.12.2021
Digital Event

TVB-EBRAINS Integrated Workflows - 7th Virtual Workshop will be held on December 17th.

The purpose of this Workshop Series is to discuss existing interfaces and workflows of TVB in EBRAINS that have been developed in SGA2 and those under development or being planned for SGA3.

Please register for the event here.


December 2021

Update from Prof. Petra Ritter on the National Research Data Infrastructure (NFDI) Neuroscience initiative 07.12.2021
Digital Event

Petra Ritter will give an update on the National Research Data Infrastructure (NFDI) Neuroscience initiative, including an in-depth description of the task area structure and services offered. Follow the livestream or write a mail to info (at) nfdi-neuro (dot) de to join in via Zoom.

More info here

Live stream here


December 2021

“Towards Sustainable Research Software” Prof. Petra Ritter at the McGill Precision Convergence Webinar Series 02.12.2021
Digital Event

Prof. Petra Ritter will be a panelist at the McGill Precision Convergence Webinar Series with a keynote by Daniel S Katz.

McGill Precision Convergence Webinar Series is building upon the HPC Covid-19 consortium initiated by IBM, NSF and others - which is now being building upon in a national reserve for other crises, including these tied to climate change. The intent is to advance post-covid domain-specific collaboratives for world reset to convergence economy.


The high-level panel will discuss how the many data platforms currently developed and deployed can be (1) bridged in some novel ways and (2) linked with other tools of human and artificial intelligence used in the many society systems that create contexts (3) both preceding embedded in real-time in real-world transformation with key markers to support effective navigation toward a better future, be it in science, action and policy.

Find out more



November 2021

12th HBP CodeJam: “EBRAINS - interactive usage and multi-site workflows" 25.11.2021
Digital Event

Learn about the TVB-cloud GDPR compliant simulation workflows at the 12th HBP CodeJam “EBRAINS - interactive usage and multi-site workflows”.

If you're interested in finding out more and joining the CodeJam, you will need an EBRAINS account.

Find out more here


November 2021

Prof. Ritter will present the Virtual Research Environment at the 4th de.NBI Cloud User Meeting 17.11.2021
Digital Event

November 17 2021, Prof. Ritter will present the Virtual Research Environment ( at the 4th de.NBI Cloud User Meeting.

Find out more here


May 2021

McGill Summer School: The Virtual Brain lecture and workshop 31.05.2021–06.06.2021

Learn to use The Virtual Brain: Petra Ritter will give a lecture with subsequent hands on session at the McGill Summer School in Nonlinear Dynamics for the Life Sciences with Applications to Neuroscience and Psychology.

Registration is open!

Find out more about the event here.


May 2021

Brain Connectivity Workshop 2021 25.05.2021–28.05.2021

Brain Connectivity Workshop goes virtual in May 2021 with the topic Consciousness and Cognition.

The program is online and registration is now open here.

Please register and meet speakers from The Virtual Brain & Virtual Brain Cloud teams.

Find more information about the workshop series since 2002 here.


March 2021

The virtual Brain lecture and workshop 31.03.2021–06.06.2021

TVB @ McGill Summer School

Learn to use The Virtual Brain: Petra Ritter will give a lecture with subsequent hands on session at the McGill Summer School in Nonlinear Dynamics for the Life Sciences with Applications to Neuroscience and Psychology.

Registration is open!

Find out more about the event here.


February 2021

European Parliament Workshop 23.02.2021

Please find here the recordings

European Parliament Workshop: Digital data for dementia research and innovation.
The event was attended by EU policymakers, representatives from national Alzheimer’s associations, national health ministries, pharmaceutical companies, researchers and members of the European Working Group of People with Dementia.


November 2020

Realising the European Open Science Cloud Expo 16.11.2020–19.11.2020

Visit our TVB-Cloud booth at the EOSC Expo Exhibit Hall.

For registration, please visit:


October 2020

30th Alzheimer Europe Conference 20.10.2020–22.10.2020

We are inviting you to join the  online 30th Annual Alzheimer Europe Conference, organized by our patients representatives project partner, Alzheimer Europe.

For more information about registration and participation, please follow this link:



September 2020

Bridging the gap between new technologies, health research and the protection of personal data: GDPR impact conference 18.09.2020

Join us at the TVB-Cloud Conference on GDPR Impact taking place ONLINE on September 18th, 2020, organized by the University of Vienna Department of Innovation and Digitalization in Law.

For more information and registration please visit the following link:


June 2020

Brain Connectivity Workshop 26.06.2020

UPDATE: This event has been postponed until next year.

We are excited to announce that Dr. Petra Ritter will talk at the Brain Connectivity Workshop in Toronto in June 2020. Registration for the event will open in January 2020 and until then you can sign up for more info or check out the preliminary program here.

The aim of Brain Connectivity Workshop is to establish a dialogue between researchers in computational neuroscience, neuroscience methodology and experimental neuroscience about the emerging field of brain connectivity.

Next year's Brain Connectivity Workshop is conveniently before OHBM in Montreal, Canada (June 26-30).


June 2020

Educational Course at OHBM 2020 26.06.2020

UPDATE: Selected events will now take place online!

Please join our educational course Fundamental Concepts and Methods in Network Neuroscience at OHBM 2020 in Montreal on the 26th of June.

Online program
The education course Fundamental Concepts and Methods in Network Neuroscience will run all day from 08.00 to 16.30. You can find the rest of the program here.

Online Registration
You can register for the 2020 Annual Meeting in Montreal here.


April 2020

Advances in Alzheimer's and Parkinson's Therapies Fokus Meeting 02.04.2020–05.04.2020

We invite you to join us for the 2nd AAT-AD/PD Focus Meeting 2020. AAT-AD/PD™ 2020 will not be postponed. For the first time, AAT-AD/PD™ 2020 will be held as an entirely virtual meeting. The Meeting will present all the latest breakthroughs in treatment, translational R&D, early diagnosis, drug development and clinical trials in Alzheimer’s, Parkinson’s and other related neurological disorders.
More here:


March 2020

The Virtual Brain Node#10 09.03.2020

4 DAYS WORKSHOP :: MARCH 9-12, 2020, Berlin

The TVB Berlin team is organizing The Virtual Brain Node#10 Workshop: Personalized Multi-Scale Brain Simulation.


December 2019

BrainModes 2019 11.12.2019–13.12.2019

BrainModes 2019 will be taking place in Pokhara, Nepal from the 11th to the 13th of December and we'll be there! BrainModes is an annual meeting that brings together international experts from various disciplines and seeks to explore innovative means of understanding complex brain activity and multimodal neuroscience data sets. This year's meeting will focus on exploring "Unified Principles of Brain Connectivity and Dynamics".


October 2019

The Virtual Brain Booth and Dedicated Poster Session at SFN 2019 19.10.2019–23.10.2019
Chicago, IL

TheVirtualBrain will be exhibiting TVB at SFN this year, along side our collaborators The Human Brain Project (HBP) and International Neuroinformatics Coordinating Facility (INCF), who will be in booths not too far away - so come and say hello!

Along with showcasing TVB at the booth, we will also be featuring a dedicated Virtual Brain Poster session (#705). The poster session includes 11 presentations from 8AM - 11AM. We would like to take this opportunity to especially highlight the poster session by Paul Triebkorn: The Virtual Brain improves machine‐learning‐driven classification of Alzheimer’s disease.

So, we hope to see you there, at the booth or at the poster sessions. In any case, SFN 2019 is going to be wonderful as usual.


August 2019

TVB Node#9 Workshop in Warsaw 31.08.2019
Warsaw, Poland

Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB).

more on the brainsimulation website


July 2019

CNS*2019 Workshop in Barcelona 16.07.2019–17.07.2019
Barcelona, Spain

The workshop will introduce the VirtualBrainCloud that merges existing software tools and platforms to provide access to high quality clinical multi-disciplinary data in order to integrate them via computational modeling, and make them useful in clinical practice.  

more on the brainsimulation website


June 2019

Long Night of the Sciences Berlin 2019 15.06.2019
Berlin, Germany

The Long Night of the Sciences (LNDW) is an annual event across all Berlin and Potsdam-Telegrafenberg, celebrating the sciences with open doors to many scientific institutions and museums, hosting a wide range of experiences. This year the LNDW will be held on June 15th from 5pm until midnight.

Like in the past two years, the Brain Simulation Section is joining to present educational and fun experiments and lectures, showcasing how practical brain simulation can improve our lives.


June 2019

Berliner Hoffest 2019 04.06.2019
Berlin, Germany

The Berliner Hoffest is an annual event in Berlin celebrating the achievements of Berlin. This year there was an exhibition outside City Hall featuring a wide variety of installations celebrating the 30th year since the Berlin Wall fell.

The Brain Simulation Unit was exhibiting along side The Berlin Institute of Health(BIH), show casing our real time brain visualisations and brain simulation work with The Virtual Brain.



Michael Schirner, Gustavo Deco, Petra Ritter
Learning how network structure shapes decision-making for bio-inspired computing
Nature Communications 10.1038/s41467-023-38626-y

Spase Petkoski, Petra Ritter, Viktor K. Jirsa
White-matter degradation and dynamical compensation support age-related functional alterations in human brain
Cerebral Cortex 10.1093/cercor/bhac500


Orestis Stylianou, Zalan Kaposzta, Akos Czoch, Leon Stefanovski, Andriy Yabluchanskiy, Frigyes Samuel Racz, Petra Ritter, Andras Eke, and Peter Mukli
Scale-Free Functional Brain Networks Exhibit Increased Connectivity, Are More Integrated and Less Segregated in Patients with Parkinson’s Disease following Dopaminergic Treatment
Fractal Fract DOI: 10.3390/fractalfract6120737

Gustavo Patow, Leon Stefanovski, Petra Ritter, Gustavo Deco and Xenia Kobeleva, for the Alzheimer’s Disease Neuroimaging Initiative
Whole-brain modeling of the differential influences of Amyloid-Beta and Tau in Alzheimer‘s Disease
Preprint at bioRxiv DOI: 10.1101/2022.10.30.514365

Hannelore Aerts, Nigel Colenbier, Hannes Almgren, Thijs Dhollander, Javier Rasero, Kenzo Clauw, Amogh Johri, Jil Meier, Jessica Palmer, Michael Schirner, Petra Ritter, and Daniele Marinazzo
Pre- and post-surgery brain tumor multimodal MRI data optimized for large scale computational modelling
Nature Scientific Data DOI: 10.1038/s41597-022-01806-4

Jorge Gulín-González, Maria L. Bringas-Vega, Eduardo Martínez-Montes, Petra Ritter, Ana Solodkin, Mitchell Joseph Valdes-Sosa and Pedro Antonio Valdes-Sosa
Editorial: Brain Modeling of Neurogenerative Disorders
Frontiers in Neuroinformatics DOI: 10.3389/fninf.2022.937790

Meier, Perdikis, Blickensdörfer, Stefanovski, Liu, Maith, Dinkelbach, Baladron, Hamker, Ritter
Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain.
Experimental Neurology DOI: 10.1016/j.expneurol.2022.114111

Paul Triebkorn, Leon Stefanovski, Kiret Dhindsa, Margarita-Arimatea Diaz-Cortes, Patrik Bey, Konstantin Bülau, Roopa Pai, Andreas Spiegler, Ana Solodkin, Viktor Jirsa, Anthony Randal McIntosh, for the Alzheimer’s Disease Neuroimaging Initiative, Petra Ritter
Brain simulation augments machine-learning-based classification of dementia
Alzheimer’s Dement. Transl. Res. Clin. Interv. DOI: 10.1002/trc2.12303

Carsten M. Klingner, Michael Denker, Sonja Grün, Michael Hanke, Steffen Oeltze-Jafra, Frank W. Ohl, Janina Radny, Stefan Rotter, Hansjörg Scherberger, Alexandra Stein, Thomas Wachtler, Otto W. Witte, Petra Ritter
Overcoming the Reproducibility Crisis - Results of the first Community Survey of the German National Research Data Infrastructure for Neuroscience
Preprint at BioRxiv DOI: 10.1101/2022.04.07.487439v1

Schirner, Domide, Perdikis, Triebkorn, Stefanovski, Pai, Prodan, Valean, Palmer, Langford, Blickensdörfer, van der Vlag, Diaz-Pier, Peyser, Klijn, Pleiter, Nahm, Schmid, Woodman, Zehl, Fousek, Petkoski, Kusch, Hashemi, Marinazzo, Mangin, Flöel, Akintoye, Stahl, Cepic, Johnson, Deco, McIntosh, Hilgetag, Morgan, Schuller, Upton, McMurtrie, Dickscheid, Bjaalie, Amunts, Mersmann, Jirsa, Ritter
Brain simulation as a cloud service: The Virtual Brain on EBRAINS
Neuroimage DOI: 10.1016/j.neuroimage.2022.118973

M Schirner; X Kong; T Yeo; G Deco, P Ritter
Dynamic primitives of brain network interaction
Neuroimage DOI: 10.1016/j.neuroimage.2022.118928

T Good, M Schirner, K Shen, P Ritter, P Mukherjee, B Levine, AR McIntosh
Personalized connectome-based modeling in patients with semi-acute phase mild TBI: relationship to acute neuroimaging and 6-month follow-up.
eNeuro DOI: 10.1523/ENEURO.0075-21.2022

Chettouf, Triebkorn, Daffertshofer, Ritter
Unimanual sensorimotor learning – a simultaneous EEG-fMRI aging study
Human Brain Mapping DOI: 10.1002/hbm.25791


Adina S. Wagner, Laura K. Waite, Małgorzata Wierzba, Felix Hoffstaedter, Alexander Q. Waite, Benjamin Poldrack, Simon B. Eickhoff, Michael Hanke
FAIRly big: A framework for computationally reproducible processing of large-scale data
Preprint at BioRxiv 10.1101/2021.10.12.464122

Kamalaker Dadi, Gaël Varoquaux, Josselin Houenou, Danilo Bzdok, Bertrand Thirion, Denis Engemann
Population modeling with machine learning can enhance measures of mental health
Preprint at BioRxiv 10.1101/2020.08.25.266536

Yasamin Salimi, Daniel Domingo-Fernándéz, Carlos Bobis-Álvarez, Martin Hofmann-Apitius, for the Alzheimer’s Disease Neuroimaging Initiative, the Japanese Alzheimer’s Disease Neuroimaging Initiative, for the Aging Brain: Vasculature, Ischemia, and Behavior Study, the Alzheimer’s Disease Repository Without Borders Investigators, for the European Prevention of Alzheimer’s Disease (EPAD) Consortium, Colin Birkenbihl
ADataViewer: Exploring Semantically Harmonized Alzheimer’s Disease Cohort Datasets
Preprint at MedRxiv 10.1101/2021.09.01.21262607

Meysam Hashemi , Anirudh N. Vattikonda, Viktor Sip, Sandra Diaz-Pier, Alexander Peyser, Huifang Wang, Maxime Guye, Fabrice Bartolomei, Marmaduke M. Woodman, Viktor K. Jirsa
On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread
PLOS Computational Biology

Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
Extracting representations of cognition across neuroimaging studies improves brain decoding
PLoS Comput Biol. 10.1371/journal.pcbi.1008795

L Arbabyazd, K Shen, Z Wang, M Hofmann-Apitius, P Ritter, A McIntosh, D Battaglia, and V Jirsa
Virtual connectomic datasets in Alzheimer's Disease and aging using whole-brain network dynamics modelling.
eNeuro (in press) 10.1101/2020.01.18.911248

Babiloni, Katarzyna Blinowska, Bonanni, Cichocki, De Haan, del Percio, Dubois, Epelbaum, Escudero, Defrutos-Lucas, Fernández, Frisoni, Guntekin, Hajos, Hampel, Ifeachor, Kaminski, Kilborn, Kumar, Johnsen, Johannsson, Jeong, Lam, Lizio, Lopez, Lopez, Lucey, Maestú, Mc Geown, McKeith, Moretti, Nobili, Noce, Olichney, Onofrj, Parra-Rodriguez, Rajji, Ritter, Osorio, Stocchi, Struzik, Tarnanas, Teipel, Taylor, Tucci, Weiergräber, Yener, Young-Pearse, Drinkenburg, Randall, Murphy, Azami, Bennys, Ferri, Harrington, Xianghong, Jelic, Kavcic, Jiang, Bujan, Farina, Lim, Whitlow, Soricelli, Fargo, Edelmayer, Carrillo, Valdes Sosa
EEG measures for clinical research in major vascular cognitive impairment: Recommendations by an Expert Panel. Neurobiology of Aging.
Science Direct 10.1016/j.neurobiolaging.2021.03.003

P Triebkorn, L Stefanovski, K Dhindsa, M Diaz-Cortes, P Bey, K Bülau, R Kalsank Pai, A Spiegler, A Solodkin, V Jirsa, R McIntosh, P Ritter, Alzheimer's Disease Neuroimaging Initiative
Multi-scale brain simulation with integrated positron emission tomography yields hidden local field potential activity that augments machine-learning classification of Alzheimer's disease
BioRxiv 10.1101/2021.02.27.433161

M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, P Popa, B Valean, J Palmer, C Langford, A Blickensdörfer, M van der Vlag, S Diaz-Pier, A Peyser, W Klijn, D Pleiter, A Nahm, O Schmid, M Woodman, L Zehl, J Fousek, S Petkoski, L Kusch, M Hashemi, D Marinazzo, JF Mangin, A Flöel, S Akintoye, B C Stahl, M Cepic, E Johnson, A R. McIntosh, C C. Hilgetag, M Morgan, B Schuller, A Upton, C McMurtrie, T Dickscheid, J G. Bjaalie, K Amunts, J Mersmann, V Jirsa, P Ritter
Brain Modelling as a Service: The Virtual Brain on EBRAINS
Arxiv arXiv:2102.05888

Stefanovski L, Meier JM, Pai R, Triebkorn P, Lett T, Martin L, Bülau K, Hofmann-Apitius M, Solodkin A, McIntosh A, Ritter P
Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain
Front. Neuroinform 10.3389/fninf.2021.630172

Babiloni, Katarzyna Blinowska, Bonanni, Cichocki, De Haan, del Percio, Dubois, Epelbaum, Escudero, Defrutos-Lucas, Fernández, Frisoni, Guntekin, Hajos, Hampel, Ifeachor, Kaminski, Kilborn, Kumar, Johnsen, Johannsson, Jeong, Lam, Lizio, Lopez, Lopez, Lucey, Maestú, Mc Geown, McKeith, Moretti, Nobili, Noce, Olichney, Onofrj, Parra-Rodriguez, Rajji, Ritter, Osorio, Stocchi, Struzik, Tarnanas, Teipel, Taylor, Tucci, Weiergräber, Yener, Young-Pearse, Drinkenburg, Randall, Murphy, Azami, Bennys, Ferri, Harrington, Xianghong, Jelic, Kavcic, Jiang, Bujan, Farina, Lim, Whitlow, Soricelli, Fargo, Edelmayer, Carrillo, Valdes Sosa
Measures of Resting State EEG Rhythms for Clinical Trials in Alzheimer’s Disease Patients: Recommendations of an Expert Panel
Alzheimer’s & Dementia 10.1002/alz.12311





Liu Shi, Laura M Winchester, Benjamine Y Liu, Richard Killick, Elena M Ribe, Sarah Westwood, Alison L Baird, Noel J Buckley, Shengjun Hong, Valerija Dobricic, Fabian Kilpert, Andre Franke , Steven Kiddle, Martina Sattlecker, Richard Dobson, Antonio Cuadrado, Abdul Hye, Nicholas J Ashton, Angharad R Morgan, Isabelle Bos, Stephanie J B Vos, Mara Ten Kate, Philip Scheltens, Rik Vandenberghe, Silvy Gabel, Karen Meersmans, Sebastiaan Engelborghs, Ellen E De Roeck, Kristel Sleegers, Giovanni B Frisoni, Olivier Blin, Jill C Richardson, Régis Bordet, José L Molinuevo, Lorena Rami, Anders Wallin, Petronella Kettunen, Magda Tsolaki, Frans Verhey, Alberto Lleó, Daniel Alcolea, Julius Popp, Gwendoline Peyratout, Pablo Martinez-Lage, Mikel Tainta, Peter Johannsen, Charlotte E Teunissen, Yvonne Freund-Levi, Lutz Frölich, Cristina Legido-Quigley, Frederik Barkhof, Kaj Blennow, Katrine Laura Rasmussen, Børge Grønne Nordestgaard, Ruth Frikke-Schmidt, Sune Fallgaard Nielsen, Hilkka Soininen, Bruno Vellas, Iwona Kloszewska, Patrizia Mecocci, Henrik Zetterberg, B Paul Morgan, Johannes Streffer, Pieter Jelle Visser, Lars Bertram, Alejo J Nevado-Holgado, Simon Lovestone
Dickkopf-1 Overexpression in vitro Nominates Candidate Blood Biomarkers Relating to Alzheimer's Disease Pathology
J Alzheimers Dis. 10.3233/JAD-200208

Michael Cepic, Mariana Rissetto
Mapping the European Legal Framework on Security Requirements for Cloud Computing Infrastructures in the Healthcare Sector.
European Data Protection Law Review 10.21552/edpl/2020/4/9

Pedro Costa Klein, Ulrich Ettinger, Michael Schirner, Petra Ritter, Dan Rujescu, Peter Falkai, Nikolaos Koutsouleris, Lana Kambeitz-Ilankovic, & Joseph Kambeitz.
Brain Network Simulations Indicate Effects of Neuregulin-1 Genotype on Excitation-Inhibition Balance in Cortical Dynamics.
Cerebral Cortex Journal 10.1093/cercor/bhaa339

Leon Stefanovski, Jil Mona Meier, Roopa Pai, Paul Triebkorn, Tristram Lett, Leon Martin, Konstantin Bülau, Martin Hofmann-Apitius, Ana Solodkin, Anthony McIntosh, Petra Ritter
From genes to network models of Alzheimer's disease: Biological framework for multi-scale brain simulation with The Virtual Brain
PsyArXiv Preprints 10.31234/

Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J Gorgolewski, Demian Wassermann, Bertrand Thirion, Arthur Mensch
Fine-grain atlases of functional modes for fMRI analysis
Neuroimage 10.1016/j.neuroimage.2020.117126

Danilo Bzdok, Denis Engemann, Bertrand Thirion
Inference and Prediction Diverge in Biomedicine
Patterns 10.1016/j.patter.2020.100119

Ana Luísa Pinho, Alexis Amadon, Baptiste Gauthier, Nicolas Clairis, André Knops, Sarah Genon, Elvis Dohmatob, Juan Jesús Torre, Chantal Ginisty, Séverine Becuwe-Desmidt, Séverine Roger, Yann Lecomte, Valérie Berland, Laurence Laurier, Véronique Joly-Testault, Gaëlle Médiouni-Cloarec, Christine Doublé, Bernadette Martins, Eric Salmon, Manuela Piazza, David Melcher, Mathias Pessiglione, Virginie van Wassenhove, Evelyn Eger, Gaël Varoquaux, Stanislas Dehaene, Lucie Hertz-Pannier & Bertrand Thirion
Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping
Scientific Data 10.1038/s41597-020-00670-4

Colin Birkenbihl, Yasamin Salimi, Daniel Domingo-Fernándéz, Simon Lovestone on behalf of the AddNeuroMed Consortium, Holger Fröhlich, Martin Hofmann-Apitius and the Japanese Alzheimer's Disease Neuroimaging Initiative, and the Alzheimer's Disease Neuroimaging Initiative
Evaluating the Alzheimer's Disease Data Landscape
Alzheimer's & Dementia: Transational Research & Clinical Interventions, accepted for publication.

Meysam Hashemi, Anirudh N. Vattikonda, Viktor Sip, Maxime Guye, Fabrice Bartolomei, Marmaduke M. Woodman, Viktor K. Jirsa
The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread
NeuroImage 10.1016/j.neuroimage.2020.116839

Nemanja Vaci, Ivan Koychev, Chi-Hun Kim, Andrey Kormilitzin, Qiang Liu, Christopher Lucas, Azad Dehghan, Goran Nenadic, Alejo Nevado-Holgado
Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study
Br J Psychiatry 10.1192/bjp.2020.136

Franziska Scheibe, Wolf-Julian Neumann, Catharina Lange, Michael Scheel, Christian Furth, Martin Köhnlein, Philipp Mergenthaler, Jörg Schultze‐Amberger, Paul Triebkorn, Petra Ritter, Andrea A. Kühn, Andreas Meisel
Movement Disorders After Hypoxic Brain Injury Following Cardiac Arrest in Adults
European Jounal of Neurology doi: 10.1111/ene.14326

Sara Mora, Sumit Madan, Stephan Gebel, Mauro Giacomini
Proposal of an Architecture for Terminology Management in a Research Project
IOS Press

Danielle Newby, Daniel Prieto-Alhambra, Talita Duarte-Salles, David Ansell, Lars Pedersen, Johan van der Lei, Mees Mosseveld, Peter Rijnbeek, Glen James, Myriam Alexander, Peter Egger, Jana Podhorna, Robert Stewart, Gayan Perera, Paul Avillach, Solène Grosdidier, Simon Lovestone, and Alejo J. Nevado-Holgado
Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study
Alzheimers Res Ther. 10.1186/s13195-020-00606-5

Sarah M. Carpentier, Andrea R. McCulloch, Tanya M. Brown, Sarah E. M. Faber, Petra Ritter, Zheng Wang, Valorie Salimpoor, Kelly Shen and Anthony R. McIntosh
Complexity Matching: Brain Signals Mirror Environment Information Patterns during Music Listening and Reward.
Journal of Cognitive Neuroscience doi: 10.1162/jocn_a_01508

Hannelore Aerts, Michael Schirner, Thijs Dhollander, Ben Jeurissen, Eric Achten, Dirk Van Roost, Petra Ritter, Daniele Marinazzo
Modeling brain dynamics after tumor resection using The Virtual Brain
Neuroimage doi:

Sabrina Chettouf, Laura M. Rueda-Delgado, Ralph de Vries, Petra Ritter, Andreas Daffertshofer
Are unimanual movements bilateral?
Neuroscience & Biobehavioral reviews doi: 10.1016/j.neubiorev.2020.03.002


Jordi-Ysard Puigbò, Xerxes D. Arsiwalla, Miguel A. González-Ballester, Paul F.M.J. Verschure
Switching Operation Modes in the Neocortex via Cholinergic Neuromodulation
Molecular Neurobiology 10.1007/s12035-019-01764-w

Diogo Santos-Pata, Riccardo Zucca, Héctor López-Carral, Paul F.M.J. Verschure
Modulating grid cell scale and intrinsic frequencies via slow high-threshold conductances: A simplified model
Neural Networks 10.1016/j.neunet.2019.06.011

Vera Röhr, Rico Berner, Ewandson L. Lameu, Oleksandr V. Popovych, Serhiy Yanchuk
Frequency cluster formation and slow oscillations in neural populations with plasticity
PLOS ONE 10.1016/j.neunet.2019.06.011

Poldrack, Feingold, Frank, Gleeson, de Hollander, Huys, Love, Markiewitcz, Moran, Ritter, Turner, Yarkoni, Zhang, Cohen.
The importance of standards for sharing of computational models and data
Oct 2019, doi:10.1007/s42113-019-00062-x

N. A. Akar et. al.
Arbor – a morphologically-detailed neural network simulation library for contemporary high-performance computing architectures.
arXiv e-prints, art. arXiv:1901.07454, Jan. 2019.

Shen K, Bezgin G, Schirner M, Ritter P, Everling S, McIntosh AR (2019)
A macaque connectome for large-scale network simulations in TheVirtualBrain
Nature Scientific

Stefanovski, Triebkorn, Spiegler, Diaz-Cortes, Solodkin, Jirsa, McIntosh, Ritter; for the Alzheimer’s Disease Neuroimaging Initiative (2019).
Linking molecular pathways and large-scale computational modeling to assess candidate disease mechanisms and pharmacodynamics in Alzheimer’s disease.
Frontiers Computational Neuroscience doi: 10.3389/fncom.2019.00054


Blundell et. al.
Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers in Neuroinformatics, 12:68, 2018. ISSN 1662-5196. doi:10.3389/fninf.2018.00068.

Nakamura A, Cuesta P, Fernández A, Arahata Y, Iwata K, Kuratsubo I, Bundo M, Hattori H, Sakurai T, Fukuda K, Washimi Y, Endo H, Takeda A, Diers K, Bajo R, Maestú F, Ito K, Kato T.
Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer's disease.
Brain. 2018 May 1;141(5):1470-1485.

Oehrl et. al.
Streaming live neuronal simulation data into visualization and analysis.
In R. Yokota, M. Weiland, J. Shalf, and S. Alam, editors, High Performance Computing, pages 258–272, Cham, 2018. Springer International Publishing. ISBN 978-3-030-02465-9. doi:10.1007/978-3-030-02465-9_18.

Schirner, McIntosh, Jirsa, Deco, Ritter
Inferring multi-scale neural mechanisms with brain network modelling.
Video tutorial:

Susi G, de Frutos Lucas J, Niso G, Ye Chen SM, Anton Toro L, Chino Vilca BN, and Maestu F.
Healthy and pathological neurocognitive aging: Spectral and functional connectivity analyses using magnetoencephalography.

Zimmermann, Perry, Breakspear, Schirner, Sachdev, Wen, Kochan, Mapstone, Ritter, McIntosh, Solodkin (2018)
Differentiation of Alzheimer’s disease based on local and global parameters in personalized Virtual Brain models.
Neuroimage Clinical

Koval, Bone, Lois, Bottani, Marcoux, Samper-Gonzalez, Burgos, Charlier, Bertrand, Epelbaum, Colliot, Allassonniere, Durrleman for the Alzheimer’s Disease Neuroimaging Innitiative.
Simulating Alzheimer’s disease progression with personalised digital brain models (preprint)


Fluck, Senger, Ziegler, Claus, Schwichtenberg.
The cloud4health Project: Secondary Use of Clinical Data with Secure Cloud-Based Text Mining Services 2017

Griebel M., Schüller A., Schweitzer M. (eds)
Scientific Computing and Algorithms in Industrial Simulations.
Springer, Cham

Nakamura A, Cuesta P, Kato T, Arahata Y, Iwata K, Yamagishi M, Kuratsubo I, Kato K, Bundo M, Diers K, Fernández A, Maestú F, Ito K.
Early functional network alterations in asymptomatic elders at risk for Alzheimer's disease.
Sci Rep. 2017 Jul 26;7(1):6517. doi: 10.1038/s41598-017-06876-8.

Solodkin, Zimmermann, McIntosh, Stefanovski, Ritter (2017)
Neurological biomarkers and Neuroinformatics: The role of The Virtual Brain.
Book: in Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research


Anandhi Iyappan, Michaela Gündel, Mohammad Shahid, Jiali Wang, Hui Li, Heinz-Theodor Mevissen, Bernd Müller, Juliane Fluck, Viktor Jirsa, Lia Domide, Erfan Younesi, Martin Hofmann-Apitius.
Toward a Pathway Inventory of the Human Brain for Modeling Disease Mechanisms Underlying Neurodegeneration.
2016 Apr 12;52(4):1343-60. doi: 10.3233/JAD-151178.


Matzke, Schirner, Vollbrecht, Rothmeier, Llarena, Rojas, Triebkorn, Domide, Mersmann, Solodkin, Jirsa, McIntosh, Ritter.
TVB-EduPack—An Interactive Learning and Scripting Platform for The Virtual Brain.
Frontiers in Neuroinformatics, 25 November 2015,

Canuet L, Pusil S, López ME, Bajo R, Pineda-Pardo JÁ, Cuesta P, Gálvez G, Gaztelu JM, Lourido D, García-Ribas G, Maestú F.
Network Disruption and Cerebrospinal Fluid Amyloid-Beta and Phospho-Tau Levels in Mild Cognitive Impairment.
J Neurosci. 2015 Jul 15;35(28):10325-30.

Maestú F, Peña JM, Garcés P, González S, Bajo R, Bagic A, Cuesta P, Funke M, Mäkelä JP, Menasalvas E, Nakamura A, Parkkonen L, López ME, Del Pozo F, Sudre G, Zamrini E, Pekkonen E, Henson RN, Becker JT; Magnetoencephalography International Consortium of Alzheimer's Disease.
A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity.
Neuroimage Clin. 2015 Aug 1;9:103-9. doi: 10.1016/j.nicl.2015.07.011. eCollection 2015.

Schirner, M., S. Rothmeier, V. Jirsa, A. R. McIntosh and Ritter, P. (2015).
An automated pipeline for constructing personalised virtual brains from multimodal neuroimaging data.
Neuroimage. doi: 10.1016/j.neuroimage.2015.03.055.
Video tutorial:


Woodman, Pezard, Domide, Knock, Sanz-Leon, Mersmann, Mcintosh, Jirsa.
Integrating neuroinformatics tools in TheVirtualBrain.
Frontiers in Neuroinformatics, 2014; 8: 36. doi: 10.3389/fninf.2014.00036

López ME, Bruna R, Aurtenetxe S, Pineda-Pardo JA, Marcos A, Arrazola J, Reinoso AI, Montejo P, Bajo R, Maestú F.
Alpha-band hypersynchronization in progressive mild cognitive impairment: a magnetoencephalography study.
J Neurosci. 2014 Oct 29;34(44):14551-9.


Ritter, P., M. Schirner, A. R. McIntosh and V. K. Jirsa (2013).
The virtual brain integrates computational modeling and multimodal neuroimaging.
Brain Connect 3(2): 121-145.

Sanz Leon, Knock, Woodman, Domide, Mersmann, Mcintosh, Jirsa.
The Virtual Brain: a simulator of primate brain network dynamics.
Frontiers in Neuroinformatics, 2013 Jun 11;7:10. doi: 10.3389/fninf.2013.00010. eCollection 2013.


Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay.
Scikit-learn: Machine Learning in Python
The Journal of Machine Learning Research 10.5555/1953048.2078195

Public reports


TVB-C public summary period 3 - 01.12.2021 - 31.05.2023
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Public Deliverable 8.2
TVB human models will be made available. We will identify the biophysical terms in the TVB models that are altered in NDD as compared to healthy individuals, and in relation to cognitive status
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Public Deliverable 8.3
Validated Use Case of a brain simulation platform for NDD, usable by scientists and clinicians, for subsequent refined clinical studies towards development of therapeutic targets associated with basic physiological mechanisms
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Public Deliverable 9.3
Presentations at conferences and exhibitions, organization of yearly stakeholder event, participation in science outreach events
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Public Deliverable 9.6
Health & lifestyle recommendation system implemented
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Public Deliverable 2.5
Final analysis of relevant legal, ethical and regulatory framework, 2nd iteration, including a report on best practices and industry standards
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Public Deliverable 3.3
Optimization and evaluation of pipeline for practical use concluded
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Public Deliverable 3.8
Seamless integration of electrophysiological data workflows with TVB modelling
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Public Deliverable 3.11
Multi-resolution TVB models with evidence for optimal granularity
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Public Deliverable 3.15
CTS2 standard compliant interface will be released to project partners
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Public Deliverable 3.18
Publication of a causality study based on an instrumental variables approach
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Public Deliverable 5.5
Webinar with demonstration of personalized simulation (“case studies”) using the integrated model in TVB
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Public Deliverable 5.6
Workflows established that link progression models and TVB
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Public Deliverable 6.5
Final VBC platform is fully integrated and validated and full documentation of its functionalities
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Public Deliverable 8.1
Validated and benchmarked data fitting workflow will be provided as a software for brain model personalization
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TVB-C public summary period 2 - 01.06.2020 - 30.11.2021
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Alzheimer Europe sets out recommendations to improve data sharing in dementia research
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Public Deliverable 3.2
Most appropriate RS-processing pipelines for TVB modelling finished
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Public Deliverable 3.6
Group level SEEG brain dynamics measures and analysis pipeline for SEEG
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Public Deliverable 3.7
Full-cohort individual MEG brain dynamics measures at the disposal
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Public Deliverable 3.10
Framework for multi-modal integrated annotations established and in use
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Public Deliverable 3.12
Evaluation and optimization of pipeline for practical use concluded
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Public Deliverable 3.17
Publication of a study on deconfounding for inference
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Public Deliverable 5.4
Semantically enhanced multi-viewer that embeds a newly developed TVB 3D viewer
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Public Deliverable 6.4
A functionally integrated version of VBC is evaluated for therapeutical targets
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Public Deliverable 7.7
VBC operation report and published services on EOSC/EGI Marketplace
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TVB-C public summary period 1 - 01.12.2018 - 31.05.2020
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Public Deliverable 3.1
Initial version of full-scope containerized pipeline developed
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Public Deliverable 3.16
Data catalogue with harmonized annotations at project
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Public Deliverable 3.9
Evaluation of cross-model atlas-based compression for
machine learning
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Public Deliverable 5.1
Text mining workflow to use ontologies and terminologies in OLS for information extraction of cause-and-effect” statements. The demonstration will
be delivered as a webinar.
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Public Deliverable 2.6
Stakeholder Conference: Specific issues of neurodegenerative diseases: The patients’ perspective
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Public Deliverable 2.4
Stakeholder conference on GDPR-impact
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Publishable Summary
TVB-Cloud Project First Period Progress Report - Publishable Summary: progress since the start of the project and the first 18 months
get the report

Public Deliverable 3.14
Integrated, open source terminology versioning and management tool CTS2 compliant application shared with project partners
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Public Deliverable 3.13
Complete, updated semantic framework for neurodegeneration research documented
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Public Deliverable 7.1
Report on Cloud Implementation Strategy applying „Trusted Cloud” Principles
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Public Deliverable 3.4
Interim source-space, multiresolution MEG time series in BIDS share. Initial MEG and SEEG brain dynamics measures at the disposal of other WPs
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Public Deliverable 7.8
Gateway to PRACE documentation and guidelines
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Public Deliverable 4.1
Paper manuscript describing the initial characterization of the studies, the equivalence of their variables and the summary statistics (mean, standard deviation etc.) submitted to relevant journal
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Public Deliverable 3.5
Full-cohort MEG time series in BIDS share and analysis pipeline ready
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Deliverable 2.2
Establishment of contact with relevant stakeholders
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Oct 2019

Title/content: Alzheimer Europe involved in two new projects - Alzheimer's Disease Detect and Prevent and VirtualBrainCloud.
Press release in English

Jun 2019

Title/content: Disease Progression Models - Understanding the progression of neurodegenerative diseases is of utmost importance for translational neurodegeneration research.
Press release in English

May 2019

Title/content: VirtualBrainCloud on CORDIS - The Virtual Brain simulates the Brain to reveal the origins of disorders
Press release in English

Apr 2019

Title/content: VirtualBrainCloud
Press release in English

Jan 2019

Title/content: VirtualBrainCloud project holds kick-off meeting in Berlin
Press release on Alzheimer Europe website in English

Nov 2018

Title/content: Fraunhofer SCAI press release on VirtualBrainCloud
Press release in German

Title/content: Forschungszentrum Jülich press release on VirtualBrainCloud
Press release in English

Title/content: VirtualBrainCloud on CORDIS - How the digital revolution is transforming EU-funded brain research
Press release in English

Title/content: VirtualBrainCloud on CORDIS - factsheet - Personalized Recommendations for Neurodegenerative Disease
Press release in English