Paper
20 December 2023 Parallel-hierarchical optical network as a model of natural neural network
Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Mykhailo Braikovskyi, Oleksandr Kobylianskyi, Vasyl Prysyazhnyuk, Oleksandr Stetsenko, Yuriy Didenko, Dmytro Zhuk, Waldemar Wójcik, Aliya Kalizhanova, Zhazira Shermantayeva
Author Affiliations +
Proceedings Volume 12985, Optical Fibers and Their Applications 2023; 129850D (2023) https://doi.org/10.1117/12.3023432
Event: Optical Fibers and Their Applications 2023, 2023, Lublin, Poland
Abstract
This article examines the structures of one of the types of pyramidal networks - parallel-hierarchical networks. The presented material has a dual purpose - applied and cognitive. The first one is of great importance in increasing the "intelligence" of specialized computer tools using a bionic approach. The second one opens completely new possibilities for a deeper understanding of the structure of the brain from the perspective of the cybernetic approach.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Mykhailo Braikovskyi, Oleksandr Kobylianskyi, Vasyl Prysyazhnyuk, Oleksandr Stetsenko, Yuriy Didenko, Dmytro Zhuk, Waldemar Wójcik, Aliya Kalizhanova, and Zhazira Shermantayeva "Parallel-hierarchical optical network as a model of natural neural network", Proc. SPIE 12985, Optical Fibers and Their Applications 2023, 129850D (20 December 2023); https://doi.org/10.1117/12.3023432
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KEYWORDS
Brain

Systems modeling

Neural networks

Optical networks

Data processing

Parallel computing

Mathematical modeling

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