Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin

Zhongping Chen; Hiroyuki Takei; Aaron Lewis

doi:10.1109/ijcnn.1990.137960

Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin

Zhongping Chen^*, Hiroyuki Takei, Aaron Lewis

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

10 Scopus citations

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 in 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.

Original language	English
Pages	803-807
Number of pages	5
DOIs	https://doi.org/10.1109/ijcnn.1990.137960
State	Published - 1990
Externally published	Yes
Event	1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA Duration: 17 Jun 1990 → 21 Jun 1990

Conference

Conference	1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3)
City	San Diego, CA, USA
Period	17/06/90 → 21/06/90

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10.1109/ijcnn.1990.137960

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doi = "10.1109/ijcnn.1990.137960",

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AU - Lewis, Aaron

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AB - 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 in 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.

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Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin

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