Optoelectronic neural network without global interneuron connections

Yuri I. Balkarey; Alexander S. Cohen; Matvey I. Elinson; Michael G. Evtikhov; W. H. Johnson; Yuri N. Orlov; Polievet I. Perov

doi:10.1117/12.304951

1 April 1998 Optoelectronic neural network without global interneuron connections

Yuri I. Balkarey, Alexander S. Cohen, Matvey I. Elinson, Michael G. Evtikhov, W. H. Johnson, Yuri N. Orlov, Polievet I. Perov

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Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304951
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

Abstract

A new neural network architecture with associative properties is proposed. Elements of every stored image obtain a special mark after local connections training. `All to all' connections are replaced by connections with a special Central Generator. It allows to unite all elements with the same mark into the whole image. The new architecture leads to a radical simplification of the connection system and therefore to the possibility of a large associative memory creation. Analog and digital optoelectronic versions are discussed.

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Yuri I. Balkarey, Alexander S. Cohen, Matvey I. Elinson, Michael G. Evtikhov, W. H. Johnson, Yuri N. Orlov, and Polievet I. Perov "Optoelectronic neural network without global interneuron connections", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304951

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KEYWORDS

Neurons

Oscillators

Neural networks

Content addressable memory

Optoelectronics

Analog electronics

Chemical elements

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