NEURAL PROCESSING MODULE WITH INPUT ARCHITECTURES THAT MAKE MAXIMAL USE OF A WEIGHTED SYNAPSE ARRAY

摘要

A neural processing module is disclosed which combines a weighted synapse array that performs "primitive arithmetic" (products and sums) in parallel with a weight change architecture and a data input architecture that collectively maximize the use of the weighted synapse array by providing it with signal permutations as frequently as possible. The neural processing module may be used independently, or in combination with other modules in a planar or stacked arrangement.