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Supercomputing and Modeling for the Human Brain (SMHB)

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SMHB General Meeting 2017


SMHB, which began in 2013, aims for a realistic organ model as a fundamental tool for basic research and (pre-)clinical studies of the human brain and large populations of cells. Key elements are the reconstruction and analysis of the organization of the human brain across multiple scales, as well as its modeling and simulation. The complexity of the human brain poses great challenges on data management, processing and online visualization, thus demanding the integration of neuroscience, cell biology and High Performance Computing (HPC). SMHB, with its innovations in multi-scale modeling and simulation, benefits from new developments in exa-scale supercomputing, and inspires new hardware and software solutions.

Our research topics

  • Brain structure, function, connectivity
    Empirical data on cellular and molecular organisation, function, and connectivity of the brain. More
  • Brain modelling and simulation
    Realistic, multi-modal brain model. More
  • Simulation technology
    Development, benchmarking, and application of new simulation methods, NEST. More
  • Supporting software
    Tools for large-scale data management, workflows, interactive visualisation and analysis, performance optimisation. More
  • Hardware development
    Co-design of HPC technology, driven by neuroscience use cases and requirements. More


SMHB General Meeting 2017
Successful SMHB General Assembly 2017
Neuroscientists and Supercomputing experts met in Jülich, on November 7th and 8th, for the General Assembly of the Helmholtz Portfolio Theme „Supercomputing and Modeling for the Human Brain” (SMHB).
More: Successful SMHB General Assembly 2017 …









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