Paper
10 November 1995 Lines of optoelectronic neural elements with optical inputs/outputs based on BISPIN-devices for optical neural networks
Vladimir G. Krasilenko, Oleg K. Kolesnitsky, N. N. Mikhalnichenko
Author Affiliations +
Proceedings Volume 2647, International Conference on Holography and Correlation Optics; (1995) https://doi.org/10.1117/12.226706
Event: International Conference on Holography and Correlation Optics, 1995, Chernivsti, Ukraine
Abstract
The necessity of multichannel (1D or 2D) neural modules with optical inputs/outputs and completely parallel information processing, carrying out the operations over continuous variables, is shown. These neuromodules have to be multifunctional with programmable tuning. The realization of a definite function tuning is carried out by means of control signals. It is suitable to the functioning description of neural networks based on frequency-dynamic models to use the apparatus of continuous (neuron) logics. The operations of array neuron logic are discussed and it is shown that all these operations can be expressed by means of 2 basic operations: limited difference and addition. The most promising neuron models are the frequency-dynamic ones, because their functioning principles correspond to natural neuron ones. The circuit of optoelectronic cell, which fulfills the limited difference operation, storage, and threshold control operations is proposed. Experimental results for this cell are given. Circuit and experimental parameters for comparator of optical signals are also given. Creation opportunity and promising application of such circuits and lines on its base for optical neural nets are shown.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir G. Krasilenko, Oleg K. Kolesnitsky, and N. N. Mikhalnichenko "Lines of optoelectronic neural elements with optical inputs/outputs based on BISPIN-devices for optical neural networks", Proc. SPIE 2647, International Conference on Holography and Correlation Optics, (10 November 1995); https://doi.org/10.1117/12.226706
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KEYWORDS
Neurons

Logic

Optical components

Neural networks

Optoelectronics

Mathematical modeling

Switches

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