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Towards a Theory of Phenomenological Coefficients: A Mathematical Framework for Phenomenal Consciousness

Marco Antonio Morelos Navidad

Zenodo (CERN European Organization for Nuclear Research) November 13, 2025 DOI: 10.5281/zenodo.17596542 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes a mathematical formalization in which conscious states emerge from superposed experiential basis states weighted by phenomenological coefficients corresponding to measured neural synchronization, forming a unified conscious field that represents the integrated global neural workspace. The authors argue this framework can reduce the explanatory gap by providing quantitative bridges between neural mechanisms and conscious experience.

Abstract

Despite major advances in neuroscience, the explanatory gap between neural correlates and subjective experience remains a fundamental challenge. This research proposes a mathematical formalization that establishes quantitative isomorphisms between neural, mathematical, and phenomenological descriptions of consciousness. We postulate that conscious states emerge from superposed experiential basis states |ψi ⟩, weighted by phenomenological coefficients ci (t) ≡ Γi (t) · Ai (t) that correspond to experimentally measured degrees of neural synchronization. The unified conscious field |Ψ(t)⟩ = i ci (t)|ψi ⟩ represents the integrated global neural workspace. This theory aims to reduce the explanatory gap by providing a mathematically rigorous framework and establishing quantitative bridges between neural mechanisms and conscious experience.Keywords: consciousness, unified theory, neural micronodes, interhemispheric synchronization, mathematical formalism, neurophenomenology, Grinberg.