Abstract
The retina forms a multilayered precortical structure which collects and preprocesses the information that reaches the visual cortex. To simulate neural network computation by the analog VLSI implementation technology, an analog model of the first stages of retinal processing has been constructed on a single silicon chip by CMOS VLSI circuitry and applied to machine vision. The purpose of this paper is to study the exactly solvable hexagonal resistive networks which model the horizontal cell layer of the retina. An overview of free-space multilayer architectures of hybrid optoelectronic interconnection networks is also given. It is shown that the shift register stage used in the horizontal and vertical scanner of the silicon retina implementation is in correspondence to the S-SEED technology in the hybrid optoelectronic implementation of interconnection networks.
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Dedicated to the memory of Lothar Collatz
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Schempp, W. (1992). Analog VLSI Networks. In: Braess, D., Schumaker, L.L. (eds) Numerical Methods in Approximation Theory, Vol. 9. ISNM 105: International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série Internationale d’Analyse Numérique, vol 105. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8619-2_16
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DOI: https://doi.org/10.1007/978-3-0348-8619-2_16
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