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[2] ai.viXra.org:2512.0015 [pdf] submitted on 2025-12-05 01:05:41
Authors: Stephan Brown
Comments: 23 Pages. Licensed under CC-BY 4.0
This paper presents a unified theoretical framework that integrates four major pillars of contemporary physics and neuroscience: quantum biology, Integrated Information Theory (IIT), the Free Energy Principle (FEP), and Orchestrated Objective Reduction (Orch-OR). We propose that neural microtubules exploit quantum coherence to convert environmental randomness into the structured, meaningful flow of lived time (Bergson’s durée).A coherence amplification parameter λ is introduced, spanning nine orders of magnitude from bulk water (λ ≈ 1) to the hypothesized gravity-induced objective-reduction regime (λ ≈ 10u2079). Quantum error-correction mechanisms in the microtubule lattice are argued to sustain coherence at physiological temperature long enough to influence cognition and to provide the discrete ~25 ms "moments" of experience observed in ~40 Hz gamma synchrony.The synthesis yields three primary falsifiable predictions testable within 2—5 years using existing techniques: (1) 5—10 % deuteration (Du2082O) should slow visual conjunction search by 15—100 ms due to reduced proton tunneling; (2) two-dimensional electronic spectroscopy of isolated tubulin dimers should reveal coherence persisting ≳ 100 fs at 310 K; (3) anesthetic potency should correlate with reduction in integrated-information proxies (e.g., perturbational complexity indexin ways classical ion-channel models cannot explain.We adopt an epistemically humble stance: the core Orch-OR mechanism remains unproven and is considered improbable under current physics priors, but the framework’s internal consistency and near-term empirical accessibility distinguish it from unfalsifiable speculation. If the three primary predictions all fail in well-designed studies by 2030, the microtubule-based quantum-cognition hypothesis will be regarded as refuted.
Category: Quantitative Biology
[1] ai.viXra.org:2508.0059 [pdf] submitted on 2025-08-23 17:30:51
Authors: Stephen P. Smith
Comments: 12 Pages.
This essay develops a unified framework connecting classical Lagrangian mechanics, probability theory, and information geometry through the lens of semantic manifolds and variational principles. By treating probability distributions as dynamic semantic fields and constraints as variational operators, we demonstrate how Shannon entropy, Fisher information, and nested Markov blankets interact to structure inference across multiple scales. The resulting architecture formalizes semantic duality, linking local sensitivity to global resonance, and provides a rigorous model for recursive constraint propagation in complex systems. This framework suggests a metaphysical interpretation of inference, where meaning, structure, and dynamics emerge from the interplay of constraints, resonance, and symmetry.
Category: Quantitative Biology
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