Networks of idealised neurons whose structure and function are described by a logic — and which can therefore be physically built.
Young explains why biological-scale assemblies were then beyond technology and finance, forcing studies into small or two-dimensional (and so artificial) arrays.
George credits McCulloch and Pitts (1947) with drawing up neural nets as “blueprints” for the senses and for learning, translatable into tape automata or programs.