The Joint Lab SMHB builds on the homonymous allied Program partnership between the Programs Supercomputing and Big Data and Decoding the Human Brain. Our interdisciplinary collaboration has pioneered a new kind of successful collaboration between neuroscience and supercomputing, and has introduced the Simulation & Data Life Cycle Lab (SDL) Neuroscience as a bridge between researchers from both fields. A recently installed Algorithms, Tools and Methods Lab (ATML) Data Processing and Deep Learning (DL) serves as another connecting element in this design to deepen collaboration with a focus on state of the art machine learning and artificial intelligence (AI).
To achieve its goals, supercomputing and data management expertise of the Jülich Supercomputing Centre will be linked to neuroscience research in Institute of Neuroscience and Medicine and associated partners. The Joint Lab SMHB will contribute to decode the complexity of the brain with advanced approaches for data analytics and simulations using innovative data science and HPC. Use cases will be developed to benefit the technological evolution of future computing, including neuromorphic technologies and high-performance modular supercomputing. Thus, the Joint Lab SMHB mutually fertilizes both communities: supercomputing enables new insights in neuroscience, and neuroscience in turn leads to new concepts in computing. Joining forces of the different disciplines via method- and concept-oriented cross-linking will enable interdisciplinary research at the interface between computer science, IT and brain research, and thus create opportunities for excellent research.