What are examples of resources that describe the basics of Spiking Neural Networks in detail? I'm very interested in writing a Spiking Neural Network engine (SNN) from scratch, but I can't find the basic information I need to get started.
For example, I've seen pictures of the individual signals that combine to form a neuron pulse in several research papers, with no information on the equations in use.  It's not the focus of the papers, and the authors assume the readers have that knowledge already.  Some papers reference software that provides this foundation (NEST, pyNN, etc.), but the documentation for the software is similarly light on details.
There is a ton of information out there on the more common network types, but SNNs have not yet made it into the mainstream.
So, where do I get this basic information? Has someone pulled together any recipes/examples/tutorials for an SNN, as has been done with all the other network types?
There is a book Spiking Neuron Models: Single Neurons, Populations, Plasticity (2002) by Wulfram Gerstner and Werner M. Kistler.
I also found these slides that could be useful.
(Additional resources would be appreciated.)