JOURNAL of MULTISCALE NEUROSCIENCE

Publication:   Journal of Multiscale Neuroscience     DOI: https://doi.org/10.56280/1667295098

 

Abstract

​A new approach attempts to express the poststructural dynamics of the entropic brain in terms of the ‘hidden’ structure of uncertainties.  By incorporating poststructural dynamics into our understanding of the physical, we can more clearly grasp how consciousness operates within a functional system approach that appropriately considers changeable boundary conditions through functional interactions. The causality is sought in boundary conditions when uncertainty reduction becomes an act of understanding as a course of action that navigates the multiscale landscape of potentialities. Motion through the multiscale landscape continuously changes uncertainties into intentionalities via ‘multiscale redundancy.’ In the multiscale version of the entropic brain, the ‘hidden’ structure of uncertainties unfolding through the poststructural dynamics occurring at different locations, levels, and times that instantly actualize through intermittent interactions as precognitive experienceabilities and combine into a global resonance before returning to spontaneous potentiality. The entropic brain is the ‘hidden’ structure of uncertainties unfolding through poststructural dynamics in the transition from potentialities to intentionalities, giving form to action via quantum potential energy and then motion via quantum kinetic energy through new information pathways. These self-referential pathways enable one to predict the minimal uncertainty as the ‘quantum of information’ functionality. It also suggests that reducing uncertainty is an act of understanding that could, in principle, mimic the conscious experience in artificial intelligence by transcending neural computability and, therefore, highlighting the importance of self-referentiality as the mechanism of ‘affective drive’ in broadcasting multiscale redundancy in the landscape of action.

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Keyword: Entropic brain, ‘affective drive’, multiscale redundancy, functional interactions, intentionality, poststructural dynamics, minimum uncertainty, negentropic gain, self-referentiality

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Conflict of Interest

The authors declare no conflict of interest

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This article belongs to the Special Issue                
Multiscalar brain adaptability in AI Systems
Lead Editor:
                       Dr. Shantipriya Parida
                       Senior Scientist
                       Silo AI,  Helsinki, Finland
 

​Copyright: © 2025 The Author(s). Published by Neural Press.

This is an open access article distributed under the terms and conditions of the CC BY 4.0 license.

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