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Proceedings Paper

Design of time-pulse coded optoelectronic neuronal elements for nonlinear transformation and integration
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Paper Abstract

In the paper the actuality of neurophysiologically motivated neuron arrays with flexibly programmable functions and operations with possibility to select required accuracy and type of nonlinear transformation and learning are shown. We consider neurons design and simulation results of multichannel spatio-time algebraic accumulation - integration of optical signals. Advantages for nonlinear transformation and summation - integration are shown. The offered circuits are simple and can have intellectual properties such as learning and adaptation. The integrator-neuron is based on CMOS current mirrors and comparators. The performance: consumable power - 100...500 μW, signal period- 0.1...1ms, input optical signals power - 0.2...20 μW; time delays - less 1μs, the number of optical signals - 2...10, integration time - 10...100 of signal periods, accuracy or integration error - about 1%. Various modifications of the neuron-integrators with improved performance and for different applications are considered in the paper.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740S (17 March 2008); doi: 10.1117/12.777742
Show Author Affiliations
Vladimir G. Krasilenko, Open International Univ. of Human Development (Ukraine)
Alexander I. Nikolsky, Open International Univ. of Human Development (Ukraine)
Alexander A. Lazarev, Open International Univ. of Human Development (Ukraine)
Maria V. Lazareva, Open International Univ. of Human Development (Ukraine)


Published in SPIE Proceedings Vol. 6974:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008
Belur V. Dasarathy, Editor(s)

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