Spatiotemporal neural networks for link-state routing protocols

This paper discusses the application of a mixed-signal VLSI realization of a recurrent spatiotemporal neural network to a computer network routing. The neural network exhibits a regular interconnect structure and uses simple processing units in a combination which is well suited for VLSI implementation with a standard fabrication process. Its ability to rapidly arrive at solutions to the single-source multiple-destination routing problem makes it particularly attractive for link-state network routing protocols.