ABSTRACT
To be able to compare, classify, and develop better neurocomputers, a good taxonomy is important. This paper presents earlier approaches to neurocomputer classification, and presents a new one, more suitable both for neurocomputers of today and for the future. This taxonomy is based on taxonomies for existing computer architectures and Philip Treleaven’s taxonomy presented in 1989.
