Neurons, NEST and PyNN

There are extremely complex models of neurons, but we mostly work with point models.
They're simpler, and faster, and in this work, they are all you really need.
This work has used a standard leaky integrate and fire model. They're spiking.
In particular, we generally write neural systems in NEST and PyNN.
NEST is a biological neuron simulator. There are others like Neuron, and Brian, and we used to use our own CANT model.
We switched to using NEST because no one would ever use my CANT model (neuroscientists would rather use my toothbrush).
I did some work with the Human Brain Project, and NEST was somewhat standard.
We also do stuff with SpiNNaker (a neuromorphic system), so we write our code in PyNN, python middleware. We can then run it with little change in SpiNNaker or NEST.
The code is all on https://www.cwa.mdx.ac.uk/spikeLearn/spikeLearn.html and I'm happy to answer questions about it.