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Sensory variability: rank models and neurophysiological prototypes

Sensory variability: rank models and neurophysiological prototypes The starting point of this paper is the conceptual framework of Oparin-Kolmogorov-Anokhin on the constructive role of sensory variability mechanisms in various forms of life and processes of various structural and functional complexity occurring in them. The paper attempts to highlight the potential of studying the psychophysiological and neurobiological consequences of sensory variability using non-traditional models of formal neurons based on the ranking of input perturbations to compute the output reaction. This required the simplest non-numbering procedure of 'weighing on lever scales' and permutation-substitution operations implemented in prebiological, biological and supbiological environments, as well as processes occurring in them. The paper proposes promising areas of research in the development and practical use of biohybrid technologies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of System of Systems Engineering Inderscience Publishers

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1748-0671
eISSN
1748-068X
DOI
10.1504/ijsse.2022.124978
Publisher site
See Article on Publisher Site

Abstract

The starting point of this paper is the conceptual framework of Oparin-Kolmogorov-Anokhin on the constructive role of sensory variability mechanisms in various forms of life and processes of various structural and functional complexity occurring in them. The paper attempts to highlight the potential of studying the psychophysiological and neurobiological consequences of sensory variability using non-traditional models of formal neurons based on the ranking of input perturbations to compute the output reaction. This required the simplest non-numbering procedure of 'weighing on lever scales' and permutation-substitution operations implemented in prebiological, biological and supbiological environments, as well as processes occurring in them. The paper proposes promising areas of research in the development and practical use of biohybrid technologies.

Journal

International Journal of System of Systems EngineeringInderscience Publishers

Published: Jan 1, 2022

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