Sábháilte in:
| Príomhchruthaitheoir: | |
|---|---|
| Formáid: | Recurso digital |
| Teanga: | |
| Foilsithe / Cruthaithe: |
Zenodo
2025
|
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.5281/zenodo.17619664 |
| Clibeanna: |
Cuir clib leis
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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Clár na nÁbhar:
- <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>