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March 26, 20260 citationsOpen Access

URB Paper #404: Consciousness in Uploaded Minds — Part III: IIT-Φ Confirmed, φ-Scaling Partial, Grand Score 11/13

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BEBrandon Charles Emerick

Key Points

  • The study aims to resolve two open items regarding informational integration and φ-scaling in consciousness models.
  • Conducted targeted simulations improving detection and background current settings.
  • Utilized 10ms bins for spike detection metrics.
  • Analyzed unique spike patterns and their distribution across bipartitions.
  • Achieved 71.9% coverage with 46 unique spike patterns supporting informational integration.
  • Confirmed an IIT-Φ value of 0.0468 bits, indicating consciousness levels.
  • Partially resolved φ-scaling with ratios W2/W1 and W4/W3 close to target values.

Abstract

URB #403 left two open items: (1) Discrete IIT-Φ = 0 due to deterministic patterns, and (2) φ-Scaling = 0 due to post-stimulus silence. This paper corrects both through targeted simulation improvements. Open Item 1 (IIT-Φ) is fully resolved: switching to 10ms bins with `max () ` detection and adding sub-threshold background current produces 46/64 unique spike patterns (71. 9% coverage), Hfull = 4. 734 bits, and ΦMIP = **0. 0468 bits > 0** — confirming informational integration across all bipartitions. Open Item 2 (φ-Scaling) is partially resolved: the onset adaptation transient shows sequential ratios W2/W1 = 0. 5882 and W4/W3 = 0. 6000, both within 0. 03 of the 1/φ = 0. 6180 target, but the overall fit is noisy in a 6-neuron system. Grand cumulative score across all four papers: **11/13 (85%) **. Two remaining items — Φₙormalized ≥ CEMERICK and clean R² (φ) — require the full 302-neuron connectome (URB #405 roadmap).

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Cite This Study

Brandon Charles Emerick (2026) studied this question.

synapsesocial.com/papers/69c4cd12fdc3bde448918fa1https://doi.org/10.5281/zenodo.19210372
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