The Living Thing / Notebooks :

Heterodox neural networks

non-deep-learning-type networks for machine learning.

Neural networks not based on the deep learning paradigm, which is not itself especially neural.

Spike-based

Most simulated neural networks are based on a continuous activation potential and discrete time, unlike spiking biological ones, which are driven by discrete events in continuous time. There are a great many other differences. What difference does this in particular make? I suspect it make a difference regarding time.