Here we showcase the collection of INS collaborations, partners and large-scale projects. Our research alliances spans across various institutes in Marseille, traverse France and spread out internationally and enable us to push boundaries of scientific exploration. We are proud to be part of each of these consortiums and are always open to building new and meaningful connections.



Institute Of Language, Communication And The Brain | ILCB

Brain And Language Research Institute | BLRI

Several INS researchers from both the DCP and the TNG teams are active members of the Institute for Language and Brain Communication (ILCB). The ILCB –extending and continuing the previous Brain and Language Research Institute (BLRI) - is a state funded Convergence Institute, federating multi-disciplinary teams across several multi-disciplinary labs at Aix-Marseille University and Avignon University. To understand the way that language functions and to model it, ILCB brings together experts in linguistics, neuroscience, psychology, medicine and computer science working on cross-cutting questions and maintaining open research platforms. ILCB also supports education by offering doctoral fellowships and by putting in place new forms of training.


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INS is a member of NeuroSchool at Aix-Marseille Université. More specifically, INS hosts AMU Master’s and PhD neuroscience students within the labs of the various research groups, determined by a students specific area of interest. By embedding AMU neuroscience students within a rich research setting during their formative educational experience, said students receive exemplary exposure to the fundamentals of scientific research directly from experts in their respective fields. INS researchers are actively involved in NeuroSchool training events, such as the courses in Computational Neuroscience.

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The Human Brain Project (HBP) is a 10-year European Flagship project, aiming at a comprehensive understanding of the human brain. To achieve this, the HBP combines excellent neuroscience research with the development of a joint platform for research and brain-inspired technology development. The HBP is following a unique, multi-disciplinary approach to accelerate brain research, brain medicine and brain-inspired technology. The HBP flagships represent a new partnering model for visionary, long-term European cooperative research and with the leadership of INS’s director, Dr Viktor Jirsa, an official partnership with HBP has been realized.




INS is an international associated partner of Epi-Surge with Cleveland Clinic in Ohio USA. The goal of the Episurge project is to provide clinicians with novel, complementary tools that will increase surgery success and minimize invasiveness for the treatment of focal drug resistant epilepsy (DRE). Our common solution towards a better management of DRE is a bioinformatic approach using personalized brain models, derived from each patient’s own anatomy using The Virtual Brain.




As part of the Brain Network Recovery Group (Brain NRG), lead by Dr. Randy McIntosh at Baycrest and supported by the James S McDonnell Foundation, Dr Viktor Jirsa together co-founded The Virtual Brain (TVB). As a part of this consortium, our ongoing parternship with Baycrest has been pivotal in ensuring the success of this multimillion dollar, multinational project has been realized and continues to advance the understanding of large-scale brain network dynamics.




The ongoing partnership with Charité Universitatmedizin Berlin, specifically Dr Petra Ritter (co-founder of TVB), has been incremental in the ongoing success of The Virtual Brain platform. Here, we have worked together to build the first brain modelling platfrom that captures the personalized features one’s own brain structure and function and simulates it in a scientifically valid way.

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Improving EPilepsy surgery management and progNOsis using Virtual brain technology

Thousands of patients with drug resistant focal epilepsy (DRE) undergo resective brain surgery with the aim of achieving seizure freedom. Despite technical advances, the success rate of epilepsy surgery in terms of seizure freedom has not greatly improved, remaining at around 50%. Epilepsy surgical failure can be due to the non-resection or insufficient modulation of the important nodes and pathways that characterize the epileptogenic network. For any candidate for epilepsy surgery, the critical factor in deciding upon the treatment strategy is the correct estimation of surgery outcome. No reliable procedure currently exists to combine the various prognostic factors for a given patient. This leads to great uncertainty on an individual scale in predicting the effects of surgery. The aim of this project is to guide surgical strategies to improve epilepsy surgical prognosis by a novel approach of large–scale brain modeling based on individual epileptic patient data.