Analogue optoelectronic implementation of a neural network with in-situ learning

Author

Yu, T.C.B. ; Mears, R.J. ; Davey, A.B. ; Crossland, W.A. ; Snook, M.W.G. ; Collings, N. ; Birch, M.

Author_Institution

Dept. of Eng., Cambridge Univ., UK

Volume

4

fYear

1995

fDate

Nov/Dec 1995

Firstpage

2008

Abstract

We present an implementation of a neural network using specially designed ferroelectric liquid crystal on silicon (FLC/Si) spatial light modulators. The spatial light modulators act as a somatic and a synaptic plane, and provide analogue weight multiplication. A learning algorithm is implemented locally in every synapse. The optoelectronic system therefore realises a fully interconnected neural network with a truly in-situ learning capability

Keywords

analogue processing circuits; ferroelectric liquid crystals; integrated optoelectronics; learning (artificial intelligence); liquid crystal devices; optical neural nets; spatial light modulators; Si; analogue optoelectronics; analogue weight multiplication; ferroelectric liqiud crystal; in-situ learning; neural network; optoelectronic system; silicon; somatic plane; spatial light modulators; synaptic plane; Holographic optical components; Holography; Integrated circuit interconnections; Neural networks; Optical computing; Optical devices; Optical films; Optical interconnections; Optical modulation; Silicon;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1995. Proceedings., IEEE International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-2768-3

Type

conf

DOI

10.1109/ICNN.1995.488981

Filename

488981