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Founded in 1859, the Norwegian University of Life Sciences (NMBU) today hosts over 5000 students and 1000 staff on its campus outside of Oslo. Over the past two decades, it has built a strong programme in engineering at the Faculty of Science and Technology with close to 1000 students. A new programme in Data Science commences in the fall of 2017.

The Computational Neuroscience Group at NMBU has accumulated comprehensive experience in large-scale simulations of networks of spiking neurons since 2001, co-developing the NEST simulation tool, with a special focus on generating connectivity in large network models. The group also has broad experience in multi-scale modelling of the signal-processing properties of neurons and networks in the early visual and somatosensory systems and has carried out extensive work on the modelling of extracellular potentials (local field potential, multi-unit activity), and has developed new methods and neuroinformatics tools to model and analyse multielectrode data (iCSD, LFPy, LPA).

NMBU will help DEEP-EST to understand the requirements of the computational neuroscience community on future hardware for large-scale simulations and data analysis, contribute 20 years of experience in optimising runtime and memory requirements of such simulations across architectures, and adapt NEST simulation code to DEEP-EST hardware.