Sensory variability: rank models and neurophysiological prototypes - Archive ouverte HAL
Article Dans Une Revue International Journal of System of Systems Engineering Année : 2022

Sensory variability: rank models and neurophysiological prototypes

Gennady Alakoz
  • Fonction : Auteur
Alexander Vladimirovich Kotov
  • Fonction : Auteur
Serguey Plyaskota
  • Fonction : Auteur
Svetlana Mikhailovna Tolpygo
  • Fonction : Auteur
Elizaveta Bydanova
  • Fonction : Auteur

Résumé

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.
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Dates et versions

hal-03959023 , version 1 (26-01-2023)

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Citer

Gennady Alakoz, Alexander Vladimirovich Kotov, Morgan Madec, Serguey Plyaskota, Svetlana Mikhailovna Tolpygo, et al.. Sensory variability: rank models and neurophysiological prototypes. International Journal of System of Systems Engineering, 2022, 12 (2), pp.150-174. ⟨10.1504/IJSSE.2022.124978⟩. ⟨hal-03959023⟩
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