This lecture covers the history and development of scientific computing in neuroscience, focusing on the simulation of neurons and networks. It discusses the use of tools like NEURON, NEST, and BRIAN for different scales of simulations, from biophysically detailed models to large-scale spiking neural networks. The lecture emphasizes the importance of numerical methods and algorithms in solving complex problems in computational neuroscience.