Analog VLSI implementation of the Hassenstein-Reichardt-Poggio models for vision computation

The engineering of analog VLSI processors for computer vision is discussed. These are based on the Hassenstein-Reichardt-Poggio models for information processing in the visual systems of the fly. It is shown how neural network models can be mapped on silicon integrated circuits for performing tasks that can be handled efficiently by digital computing machinery. Hardware architectures for both position and motion computation are described.<
>