DocumentCode
2699797
Title
Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin
Author
Chen, Zhongping ; Takei, Hiroyuki ; Lewis, Aaron
fYear
1990
fDate
17-21 June 1990
Firstpage
803
Abstract
A unique biological molecule is presented that has an intrinsic optoelectrical characteristic which can simulate both excitation and inhibition. This distinctive material is a relative of the visual pigment rhodopsin and is called bacteriorhodopsin (BR). The polarity of the optoelectrical signal induced by BR by light depends on both its photochromic state and the excitation wavelength. This unique characteristic can be used to perform the subtraction operation using incoherent light. An optical implementation of a neural network with wavelength-encoded bipolar interconnections using BR is introduced. In this scheme, the polarity of the interconnection matrix is represented by the wavelength of the light
Keywords
biomolecular electronics; neural nets; optical information processing; optical interconnections; bacteriorhodopsin; biological molecule; excitation wavelength; interconnection matrix; neural network; neural networks; optoelectrical characteristic; subtraction operation; wavelength-encoded bipolar interconnections;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137960
Filename
5726917
Link To Document