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A Mechanistic Model of Binding Characterizes the Interplay between Temporo-Spatial Binding Strength and Noise
Version 1
: Received: 11 December 2023 / Approved: 12 December 2023 / Online: 12 December 2023 (10:07:32 CET)
A peer-reviewed article of this Preprint also exists.
Kraikivski, P. A Mechanistic Model of Perceptual Binding Predicts That Binding Mechanism Is Robust against Noise. Entropy 2024, 26, 133. Kraikivski, P. A Mechanistic Model of Perceptual Binding Predicts That Binding Mechanism Is Robust against Noise. Entropy 2024, 26, 133.
Abstract
The temporo-spatial theory of consciousness postulates that the brain implements its own inner time and space for conscious processing of outside world. In line with this hypothesis, I present a mechanistic model of mutually connected processes that encode the inner space and time. The model is used to elaborate the binding mechanism between two sets of processes representing the inner space and time, respectively. Further, a stochastic version of the model is developed to investigate the interplay between the binding strength and noise. The spectral entropy is used to characterize the noise effects on the systems of processes when the binding strength is varied. The stochastic modeling results reveal that the spectral entropy values for strongly bound systems have similar entropy values for weakly bound or even decoupled systems. Thus, the analysis performed in this study allows to conclude that the binding mechanism is noise-resilient.
Keywords
Theory of consciousness; binding problem; consciousness; perceptual binding; perception; neural correlates of consciousness; spectral entropy; power spectrum; stochastic modeling; noise in neuronal networks
Subject
Computer Science and Mathematics, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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