Training
Training happens locally, in neuron group types, in subnetworks, and in scripts. This page points to generic components and elements involved in training.

Neural networks can be trained in a variety of ways in Simbrain. Many of these are built in to specific subnetwork types. Some of these training rules are used by multiple networks and can also be invoked in scripts.
An example which steps through the process of creating and trainining a network using supervised learning (backprop) is in the examples page.