The visual cortex models previously proposed have some amiable hardware implementation attributes. These networks generally include only local connections (except for perhaps a global constant) and require low precision processing. There are many models of the cortex that have been proposed. Most consist of the same basic mathematical principles, but vary in the details. However, these models tend to behave similarly. This presentation will discuss basic requirements of hardware implementation and explore a few electronic and optical implementations.
Jason M. Kinser,
"Hardware: basic requirements for implementation", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); doi: 10.1117/12.343041; https://doi.org/10.1117/12.343041