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This lecture introduces the simulation of networks, focusing on the various ways to model pieces of the brain at different spatial scales, from meters to nanometers, and the tools and platforms used for simulating brain models, such as NEURON, Topographica, and NEST. It also covers the NEURON Simulation Environment, a domain-specific simulator for conducting neuron and network simulations, with Python support and high performance capabilities. The lecture delves into research using simulation, showcasing over 2300 publications utilizing NEURON for multi-scale models of brain structures.