ADAPTIVE PHOTOREFRACTIVE NEURONS FOR SELF-ORGANIZING NETWORKS

被引：11

作者：

GALSTYAN, T

PAULIAT, G

VILLING, A

ROOSEN, G

机构：

[1] Institut d'Optique Théorique et Appliquée, Unité de Recherche Associée au 14, Centre National de la Recherche Scientifique (CNRS), Centre Scientifique d'Orsay, Bât. 503, B.P. 147

来源：

OPTICS COMMUNICATIONS | 1994年 / 109卷 / 1-2期

关键词：

D O I：

10.1016/0030-4018(94)90734-X

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Analogies between some learning laws widely used in self-organizing neural networks and the dynamics of hologram creation in photorefractive materials are outlined. Some possible optical implementations of optical neuron units with photorefractive crystals are proposed. These systems present the key characteristics of the adaptive units required for the realization of self-organizing networks. The characteristics, such as feature extraction in a set of images, are experimentally demonstrated.

引用

页码：35 / 42

页数：8

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