Neural Dynamics of Functional Low Entropy: A Falsifiable Bioinformational Framework for Conscious States

This work proposes a falsifiable framework linking neural dynamics, information theory, and consciousness. The concept of Functional Low Entropy (LFE) is introduced as a measurable regime characterized by intermediate synchronization and maximal metastability.\n\nNumerical simulations using the Kuramoto-Sakaguchi model demonstrate that while phase synchronization increases monotonically with coupling strength, metastability exhibits a non-monotonic profile with a clear maximum in intermediate regimes.\n\nThese findings support the hypothesis that conscious-like dynamics may emerge in regimes balancing integration and variability.\n\nThis work is released as a preprint and has been submitted to bioRxiv.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-02
DOI
https://doi.org/10.5281/zenodo.19985820
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
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article

Neural Dynamics of Functional Low Entropy: A Falsifiable Bioinformational Framework for Conscious States

antonio de la fuente carreras
Zenodo (CERN European Organization for Nuclear Research)
Neural dynamics and brain function
article

Neural Dynamics of Functional Low Entropy: A Falsifiable Bioinformational Framework for Conscious States

antonio de la fuente carreras
article en

Abstract

This work proposes a falsifiable framework linking neural dynamics, information theory, and consciousness. The concept of Functional Low Entropy (LFE) is introduced as a measurable regime characterized by intermediate synchronization and maximal metastability.\n\nNumerical simulations using the Kuramoto-Sakaguchi model demonstrate that while phase synchronization increases monotonically with coupling strength, metastability exhibits a non-monotonic profile with a clear maximum in intermediate regimes.\n\nThese findings support the hypothesis that conscious-like dynamics may emerge in regimes balancing integration and variability.\n\nThis work is released as a preprint and has been submitted to bioRxiv.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Neural dynamics and brain function
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