Sub-realtime simulation of a neuronal network of natural density

Abstract Full scale simulations of neuronal network models the brain are challenging due to high density connections between neurons. This contribution reports run times shorter than simulated span biological time for a full model local cortical microcircuit with explicit representation synapses on recent conventional compute node. Realtime performance is relevant robotics and closed-loop applications while sub-realtime desirable study learning development in brain, processes extending over hours days time.