The goal of the subproject is to deliver an Internet-accessible collaborative platform for data-driven predictive reconstruction and simulation of brain models.

The Brain Simulation Platform will consist of a suite of software tools and workflows that allow researchers to reconstruct and simulate biologically detailed multi-level models of the brain displaying emergent structures and behaviours. The platform will make it possible to reconstruct and simulate models at different levels of description (abstract computational models, point neuron models, detailed cellular level models of neuronal circuitry, molecular level models of small areas of the brain, multi-scale models that switch dynamically between different levels of description), allowing experimentalists and theoreticians to choose the level of detail most appropriate to the questions they are asking and to the data and computing power available. The platform will be designed to support continuous integration of biological data and implementation of biological principles, ensuring that the models become steadily more accurate and detailed as the project proceeds. Tools developed for the platform will allow researchers to collaboratively design and run in silico experiments to further validate the models and perform experiments and manipulations impossible in the lab. Such experiments will contribute to identifying the neuronal architectures underlying specific brain functions, to studies of the mechanisms underlying neurological and psychiatric disease and to the simplification of neuronal circuitry for implementation in neuromorphic technology. The project will use these tools to reconstruct and validate first-draft models of different levels of brain organisation, in mice and in humans. The ultimate goal is to develop multi-scale (simple to complex), multi-level (genes to whole brain) models of the mouse and human brains, in which different brain areas are modelled at levels of detail appropriate to the state of current knowledge and data, the computational power available for simulation and the needs of researchers.

The first version of the ICT simulation platform will be built and released during the ramp-up phase. This effort will build on previous work in the Blue Brain Project.

What People are Saying

  • Collaborate, collaborate, collaborate. This is our opportunity.

    Prof. Karlheinz Meier, University of Heidelberg,
    Co-director of the HBP and co-leader of the Neuromorphic Computing Subproject

  • A key goal of the Human Brain Project is to construct realistic simulations of the human brain – this will require molecular and cellular information and from that we will be able to model and understand biological and medical processes. In addition, we will be able to use that information to design and implement new kinds of computers and robotics.

    Prof. Seth Grant, University of Edinburgh,
    Co-leader of the Strategic Mouse Brain data subproject

  • The Human Brain is the most complex system that we know of. We would like to develop some kind of ‘google' brain where we can zoom in and out, see it from different perspectives and understand how brain structure and function is related. The ultimate aim of the Human Brain Project is to understand the human brain. This is only possible when we understand the structural organization of the human brain.

    Prof. Katrin Amunts, Institute of Neuroscience and Medicine,
    Forschungszentrum Jülich

  • The Human Brain Project will be a leader in the creation of new technology for simulation, for visualization and for big data handling in Europe.

    Prof. Thomas Lippert, Institute for Advanced Simulation, Jülich Supercomputing Centre,
    leader of the High Peformance Computing subproject

  • The Human Brain Project will become a major driver of ICT in Europe.

    Prof. Thomas Lippert, Institute for Advanced Simulation, Jülich Supercomputing Centre,
    leader of the High Peformance Computing subproject