  The cellular automaton (CA) pulsing model (arXiv:1806.06416) described the
surprising phenomenon of spontaneous, sustained and robust rhythmic
oscillations, pulsing dynamics, when random wiring is applied to a 2D `glider'
rule running in a 3-value totalistic CA. Case studies, pulsing measures,
possible mechanisms, and implications for oscillatory networks in biology were
presented. In this paper we summarise the results, extend the entropy-density
and density-return map plots to include a linked history, look at totalistic
glider rules with neighborhoods of 3, 4 and 5, as well as 6 and 7 studied
previously, introduce methods to automatically recognise the wavelength, and
extend results for randomly asynchronous updating. We show how the model is
implemented in DDLab to validate results, output data, and allow experiments
and research by others.
