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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