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SMHB - Supercomputing and Modeling for the Human Brain

The SMHB project 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 cell. Key elements are the analysis of the organization of the human brain across multiple scales as well as its modeling and simulation.

The Helmholtz portfolio theme “Supercomputing and Modeling for the Human Brain” was granted in 2012 for a five-year period. It is aiming for a realistic model as a fundamental tool for basic research and (pre-)clinical studies of the human brain and large populations of cell. Key elements are the 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 for data management, processing and on-line visualization, thus demanding the integration of neuroscience, cell biology and high performance computing.

Were are actively involved and/or running the following workpackages and tasks:

  • Wockpackage 1

    • Task 1.5 Dynamic correlation of neuronal activity in sensory motor behavior - headed by Sonja Grün, Fred Barthelemy
    • Task 1.5.2 Mapping cortical interactions using single pulse microstimulation in macaque monkey - headed by Sonja Grün, Thomas Brochier
  • Workpackage 2 Brain modelling and simulation - headed by Markus Diesmann

  • Workpackage 3 Simulation technology - headed by Abigail Morrison

    • Task 3.1 Performance analysis, optimization and scaling of simulation codes - led by Abigail Morrison, Jochen Eppler
    • Task 3.2 Memory consumption models and communication patterns - headed by Abigail Morrison, Alex Peyser
    • Task 3.3 Programming models and languages - led by Abigail Morrison, Markus Diesmann
    • Task 3.4 Application-side interfaces for visualization and interactivity - headed by Abigail Morrison, Alex Peyser
  • Workpackage 4

    • Task 4.5 Software tool for correlation analyses of multi-channel time series at multiple scales - led by Sonja Grün, Michael Denker

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