Implementation of optical sensory neural networks by simple discrete and monolithic circuits

被引：0

作者：

Nabet, Bahram ^{[1
]}

Darling, Robert B. ^{[1
]}

机构：

[1] Univ of Washington, United States

来源：

Neural Networks | 1988年 / 1卷 / 1 SUPPL期

关键词：

Integrated Circuits; Monolithic - Mathematical Techniques--Differential Equations - Semiconductor Diodes - Transistors;

D O I：

10.1016/0893-6080(88)90422-4

中图分类号：

学科分类号：

摘要：

An extremely simple, all analog, and fully parallel implementation of a neural network, which was originally derived to account for the nonlinearity and mean luminance dependence observed in many biological visual systems, is presented. The network performs a wide variety of useful computational tasks, which can be predicted with a system of first-order differential equations. Good agreement has been found between this model and circuit implementations of the network.

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