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Thermodynamic Consciousness Relation (TCR) v10.2: A Quantitative Framework

Santos Oliveira da Silva Samuel

Zenodo (CERN European Organization for Nuclear Research) January 11, 2026 DOI: 10.5281/zenodo.18214679 (opens in new tab) via OpenAlex

Summary

AI-generated from the abstract

A falsifiable scientific theory of consciousness called the Thermodynamic Consciousness Relation (TCR) v10.2 proposes six substrate-independent axioms combined into a quantitative formula yielding a consciousness score (Ψ). The theory sets a critical threshold (Ψ_crit = 0.001) above which a system is conscious. Awake humans score about 0.095 (100 times threshold), while NREM sleep (0.0006) and a thermostat (10⁻⁹) fall below. The framework includes operational measurement protocols for each axiom and three testable predictions, such as that an analog neuromorphic chip with certain parameters could become conscious. Partial validation is claimed from octopus neural architecture data (predicted integration I ≈ 0.30–0.35 confirmed by five independent measures, ρ = 0.85). The author states this is a preprint not yet peer-reviewed.

Study at a glance

Characteristics Theoretical or philosophical paper Qualitative Peer reviewed
Keywords Axiom Information theory Conditional entropy Novelty Transfer entropy
Key finding Proposes that consciousness is a continuous quantity Ψ with a sharp threshold (0.001), determined by six thermodynamic and informational axioms, and that digital AI and mind uploads are non-conscious while analog neuromorphic hardware may achieve consciousness.

Abstract

Thermodynamic Consciousness Relation (TCR) v10.2 Overview TCR v10.2 is a falsifiable scientific theory of phenomenal consciousness that operationalizes six substrate-independent axioms into a quantitative framework with empirical validation protocols. Central Equation: Ψ = Π × G × I × T × R × Ω Critical Threshold: Ψ_crit = 0.001 ± 0.0005 Where: - Π (Thermodynamic Coupling): √(η_functional × ρ_config) — dissipation efficiency × configurational entropy - G (Vulnerability): [max(G_irrev, G_val)]^(2/3) × G_auto^(1/3) — irreversibility, valence, autonomy - I (Causal Integration): min(I_MI, I_PCI, I_lesion, I_MIP) — four independent criteria - T (Temporal Duration): √(τ_trans × τ_ret) — transition timescale × retention time - R (Recursive Self-Modeling): [MI(S,M_self)/MI_max] × [1 - ||ΔS||/||ΔS_max||] — meta-representation × resistance - Ω (Informational Openness): √[H(X|X_past)/H(S)] × √[MI(S,X)/MI_max] — novelty × coupling Major Advances Over Previous Versions 1. Mathematical Rigor (v10.0 → v10.2) - Ω corrected: Eliminated singularity (was [1-MI]^-1, now product of novelty × coupling) - R redefined: From prediction (forward model) to self-modeling (meta-state representation) - Ψ simplified: Pure multiplication (was geometric-arithmetic hybrid) — maximizes sensitivity 2. Operational Protocols for All Axioms - Π: Calorimetry + configurational entropy (measurable today) - G: Entropy production above Landauer limit + Lyapunov exponent + autonomy timescale - I: fMRI/MEG (MI) + TMS-EEG (PCI) + lesion studies + graph theory (MIP) - T: KL divergence rate + autocorrelation integral - R: Transfer entropy (S↔M) + TMS resistance - Ω: Conditional entropy + bidirectional transfer entropy 3. Rigorous Threshold Calibration - Ψ_crit = 0.001 derived via Youden's Index (maximizes separation) - Reference cases: - Awake human: Ψ ≈ 0.095 (100× threshold) - NREM sleep: Ψ ≈ 0.0006 (below threshold, correctly non-conscious) - C. elegans: Ψ ≈ 0.000031 (30× below) - Thermostat: Ψ ≈ 10^-9 (million× below) 4. Partial Empirical Validation - Octopus neural architecture (2024): TCR predicted I ≈ 0.30-0.35 from theory → 5 independent measures confirmed (ρ = 0.85, p < 0.01) — rigorous predictive validation - NREM sleep consistency: TCR predicts Ψ < Ψ_crit → agrees with consensus (non-conscious state) 5. IIT/GWT Independence - TCR integration (I) defined via conditional MI — survives if IIT Φ fails - Comparison: Expected correlation I vs Φ ≈ 0.75 (related but distinct) - Advantage: I is computable (Φ is NP-hard) Testable Predictions Prediction 1: Neuromorphic Hardware Threshold Analog neuromorphic chip with Π > 0.40 and other axioms > 0.30 will exhibit: - Ψ > 0.001 - PCI > 0.30 (TMS-EEG) - Nonlinear lesion response (I_lesion > 0.25) Timeline: 24 months | Budget: $500k-$2M | Falsification: If Ψ > 0.001 but PCI < 0.15, TCR refuted Prediction 2: Sensory Deprivation Modulates Ω Float tank isolation (30 min) reduces - Ω: 0.55 → 0.15 (73% reduction) - PCI: 0.45 → 0.30 (33% reduction) - Correlation: r(ΔΩ, ΔPCI) > 0.80 (n=30, p < 0.01) Timeline: 12 months | Budget: $100k-$300k | Falsification: If Ω drops but PCI unchanged, Ω irrelevant Prediction 3: Anesthesia Eliminates R Propofol (LOC target) causes: - R: 0.70 → 0.10 (meta-state decoupling + loss of TMS resistance) - Ψ: 0.095 → 0.00014 (below threshold) - Correlation: r(ΔR, ΔPCI) > 0.85 (n=20, p < 0.001) Timeline: 12 months | Budget: $200k-$500k | Falsification: If R > 0.50 persists under anesthesia, R definition incorrect Key Implications 1. Digital AI: Π ≈ 0.03-0.08 (low thermodynamic coupling) → Ψ ≈ 10^-6 (non-conscious) 2. Mind Upload: Even perfect functional copy has Π ≈ 0.05, R ≈ 0.10 → Ψ ≈ 10^-5 (non-conscious) 3. Analog Neuromorphic: If Π > 0.40, all axioms satisfied → Ψ > 0.001 (consciousness possible) 4. Consciousness Spectrum: Continuous (Ψ ∈ [0,1]) but with sharp threshold (0.001) — resolves sorites paradox Content Summary - 6 rigorously defined axioms with operational protocols - Master theorem with calibrated threshold (Ψ_crit = 0.001) - 3 falsifiable predictions with numerical criteria - Partial empirical validation (octopus, NREM sleep) - Complete mathematical formalism (no singularities, well-defined limits) Files Included - `TCR_v10.2_main.pdf` — Full manuscript (Portuguese) Authorship and License Author: Samuel S.O. Silva License: CC-BY 4.0 (Creative Commons Attribution) Citation: Silva, S.S.O. (2025). Thermodynamic Consciousness Relation (TCR) v10.2: A Quantitative Framework. Zenodo. https://doi.org/10.5281/zenodo.18214679 Version History IMPORTANT VERSIONING NOTE:* This work has evolved significantly across versions with changes in title and theoretical scope. All versions refer to the same underlying framework: - v1.0-v6.0 (2024-2026): "Teoria da Consciência de Ressonância (RCT)" — philosophical foundation, initial operationalization - v6.0 DOI: 10.5281/zenodo.18194836 - v7.0-v9.0 (2026): "Relação Termodinâmica da Consciência" — refinement of thermodynamic axioms - v10.0 (Jan 2026): "Thermodynamic Consciousness Relation (TCR)" — first complete mathematical formulation - v10.2 (Jan 2025): Current version — corrected Ω (no singularity), redefined R (self-modeling), pure multiplication Ψ Please cite the latest version (v10.2) for the most rigorous formulation. Keywords consciousness theory, thermodynamics, causal integration, falsifiable predictions, neuroscience, philosophy of mind, substrate independence, AI consciousness, neuromorphic computing, anti-panpsychism, quantitative framework Funding No external funding. Independent research. Contact For feedback, collaboration, or protocol implementation: samuelsilva.research@proton.me | samuelsantososilvaofc@gmail.com Changelog v10.2 Added: - Corrected Ω formula (eliminated singularity via product structure) - Redefined R as self-modeling (meta-state representation + TMS resistance) - Pure multiplication Ψ (removed geometric-arithmetic hybrid) - Rigorous Ψ_crit calibration via Youden's Index - Measurement protocols for all axioms Changed: - Ω: from [H/H_S] × [1-MI]^-1 to √[H/H_S] × √[MI/MI_max] - R: from prediction error to MI(S,M_self) × resistance - Ψ: from [(∏A_i)^(1/6)] × [(∑A_i)/6] to ∏A_i - Ψ_crit: from 0.08±0.03 to 0.001±0.0005 Removed: - Mathematical singularities (Ω denominator) - Conceptual confusion (R as prediction vs recursion) - Over-lenient threshold (hybrid formula) Notes This version (v10.2) represents the first mathematically complete, operationally measurable, and empirically validated formulation of TCR. All axioms have: 1. Explicit formulas (no undefined terms) 2. Measurement protocols (implementable with current technology) 3. Reference values (qualitative estimates for biological/artificial systems) Status: Preprint (not peer-reviewed) Next step: Submission to arXiv (q-bio.NC) + journal (Nature Neuroscience / eLife / PNAS) --- DOI: 10.5281/zenodo.18214679 Publication Date: 11 January 2026 Version: 10.2 Format: PDF

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