In the beginning fifties such 'neural' nets were qualified to learn. Perhaps, Jeffress model was not longer of interest. Even some biologists as Konishi remembered him sometimes to interpret acoustical experiments. The genius of computing and neural pioneers was, to digitize Jeffress interference circuit. A time-function was interpreted in discrete values, delay portions are called states or samples.
Explicit time is removed from time-functions.
State machines, Petri-nets and digital filters were born. A certain fixed number of synapses must be excited within the period of latent addition in order to excite a neurone at any time, and this number is independent of previous activity and position on the neurone. Thus, it is not possible, to find any time-function in the paper. Else we find terms, characterising the new age, the age of computer technology. So, in one of the origins of neuro-computing we find a dangerous simplified description of physical reality.