Analog VLSI implementation of the Hassenstein-Reichardt-Poggio models for vision computation
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
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 Author(s) Andreou, A.G. Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA Strohbehn, K.Keywords
This publication has 7 references indexed in Scilit:
- Synthetic neural systems using current-mode circuitsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Current-mode subthreshold MOS circuits for analog VLSI neural systemsIEEE Transactions on Neural Networks, 1991
- Synthetic Neural Circuits Using Current-Domain Signal RepresentationsNeural Computation, 1989
- Analog VLSI Implementation of Neural SystemsPublished by Springer Nature ,1989
- A CMOS analog continuous-time delay line with adaptive delay-time controlIEEE Journal of Solid-State Circuits, 1988
- Visual control of orientation behaviour in the fly: Part I. A quantitative analysisQuarterly Reviews of Biophysics, 1976
- Visual control of orientation behaviour in the fly: Part II. Towards the underlying neural interactionsQuarterly Reviews of Biophysics, 1976