NEST and NeuroML

NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. The development of NEST is coordinated by the NEST Initiative.

NEST is ideal for networks of spiking neurons of any size, for example:

• Models of information processing e.g. in the visual or auditory cortex of mammals,

• Models of network activity dynamics, e.g. laminar cortical networks or balanced random networks,

• Models of learning and plasticity.

See OpenSourceBrain/NESTShowcase for examples of usage of NeuroML and NEST.