NEST is a simulator for spiking neural network models that focus on
the dynamics, size and structure of neural systems rather than on the
exact morphology of individual neurons.
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.