Refusal, Not Integration: A Dual-Regime Model of Phenomenal Consciousness
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2025
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| _version_ | 1866901180959948800 |
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| author | Waterman, Alastair |
| author_facet | Waterman, Alastair |
| contents | <div><span><span><span>Refusal-Driven Dimensionality Reduction Theory (RDRT): a dual-regime, simulation-validated model of phenomenal consciousness that rejects the integration-maximisation dogma of IIT and GWT. </span></span></span></div> <div> </div> <div><span><span><span>Phenomenal experience arises not from causal integration (Φ) or broadcast, but from systematic refusal to encode/transmit >99.999999 % of molecular microstates (GPReff ≈ 10¹⁰.²–10¹².³) and ~60 synaptic failures per 80 ms ACC gamma cycle (LPReff → I ≈ 36.2 ± 3.1 bits, 95 % CI [33.1, 39.3]). </span></span></span></div> <div> </div> <div><span><span><span>The 36.2-bit phenomenal compression index (I) is the unreportable informational residue of selfhood, measured indirectly via gamma-confidence correlation (simulated r = 0.68, p < 0.001; pilot human EEG n = 8, r = 0.61, p = 0.003). </span></span></span><span><span><span>Refusal Workspace Theory (RWT) unifies access (P3b) and phenomenal consciousness: C = broadcast + refusal residue. </span></span></span></div> <div> </div> <div><span><span><span>Includes: </span></span></span></div> <div><span><span><span>• SoM-Memristor v3 neuromorphic simulation (WOₓ, I = 2.3 ± 0.4 bits, t(99) = 5.7, p < 0.001) </span></span></span></div> <div><span><span><span>• SMT+ protocol (n = 30 simulated + propofol arm, ∆I = –28.4 %) </span></span></span></div> <div><span><span><span>• Monte Carlo lifespan trajectories (n = 10,000, peak I ~30 y) </span></span></span></div> <div><span><span><span>• Full Python code: cryoem_correction.py, memristor cycles, gamma wavelet analysis </span></span></span></div> <div><span><span><span>• CSV datasets (100-cycle memristor, pilot EEG, Monte Carlo histograms)</span></span></span></div> <div> </div> <div><span><span><span>Predictions: ACC-targeted TMS ↑I ~4 bits without ∆P3b; propofol ↓I. Energy efficiency: 10⁸–10⁹ bits·J⁻¹ (20 W cortex) vs GPT-4 clusters. Solves binding problem via shared refusal patterns in negative space.</span></span></span></div> <div> </div> <div><span><span><span>Keywords: phenomenal consciousness, refusal, anterior cingulate cortex, neuromorphic simulation, binding problem, energy efficiency, gamma synchrony, memristor, active inference, free energy principle</span></span></span></div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17619664 |
| institution | Zenodo |
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| publishDate | 2025 |
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| spellingShingle | Refusal, Not Integration: A Dual-Regime Model of Phenomenal Consciousness Waterman, Alastair Artificial intelligence Consciousness Theory of Mind Neurosciences Cognitive Neuroscience <div><span><span><span>Refusal-Driven Dimensionality Reduction Theory (RDRT): a dual-regime, simulation-validated model of phenomenal consciousness that rejects the integration-maximisation dogma of IIT and GWT. </span></span></span></div> <div> </div> <div><span><span><span>Phenomenal experience arises not from causal integration (Φ) or broadcast, but from systematic refusal to encode/transmit >99.999999 % of molecular microstates (GPReff ≈ 10¹⁰.²–10¹².³) and ~60 synaptic failures per 80 ms ACC gamma cycle (LPReff → I ≈ 36.2 ± 3.1 bits, 95 % CI [33.1, 39.3]). </span></span></span></div> <div> </div> <div><span><span><span>The 36.2-bit phenomenal compression index (I) is the unreportable informational residue of selfhood, measured indirectly via gamma-confidence correlation (simulated r = 0.68, p < 0.001; pilot human EEG n = 8, r = 0.61, p = 0.003). </span></span></span><span><span><span>Refusal Workspace Theory (RWT) unifies access (P3b) and phenomenal consciousness: C = broadcast + refusal residue. </span></span></span></div> <div> </div> <div><span><span><span>Includes: </span></span></span></div> <div><span><span><span>• SoM-Memristor v3 neuromorphic simulation (WOₓ, I = 2.3 ± 0.4 bits, t(99) = 5.7, p < 0.001) </span></span></span></div> <div><span><span><span>• SMT+ protocol (n = 30 simulated + propofol arm, ∆I = –28.4 %) </span></span></span></div> <div><span><span><span>• Monte Carlo lifespan trajectories (n = 10,000, peak I ~30 y) </span></span></span></div> <div><span><span><span>• Full Python code: cryoem_correction.py, memristor cycles, gamma wavelet analysis </span></span></span></div> <div><span><span><span>• CSV datasets (100-cycle memristor, pilot EEG, Monte Carlo histograms)</span></span></span></div> <div> </div> <div><span><span><span>Predictions: ACC-targeted TMS ↑I ~4 bits without ∆P3b; propofol ↓I. Energy efficiency: 10⁸–10⁹ bits·J⁻¹ (20 W cortex) vs GPT-4 clusters. Solves binding problem via shared refusal patterns in negative space.</span></span></span></div> <div> </div> <div><span><span><span>Keywords: phenomenal consciousness, refusal, anterior cingulate cortex, neuromorphic simulation, binding problem, energy efficiency, gamma synchrony, memristor, active inference, free energy principle</span></span></span></div> |
| title | Refusal, Not Integration: A Dual-Regime Model of Phenomenal Consciousness |
| topic | Artificial intelligence Consciousness Theory of Mind Neurosciences Cognitive Neuroscience |
| url | https://doi.org/10.5281/zenodo.17619664 |