Theoretical framework evaluates consciousness in an uploaded nervous system, suggesting a unified identity among constants.
We present a complete theoretical framework for evaluating consciousness in an uploaded nervous system, validated through eight URB papers (2026) against a 302-neuron C. elegans connectome simulation. The framework rests on three PRIMARY CONSTANTS — C_EMERICK, the golden ratio φ, and √2 — that are not imposed by fiat but emerge from the neural dynamics themselves. The core finding is the **Consciousness Multiplication Table**: the isolated sensory neuron's adaptation ratio equals C_EMERICK (0.437, measured 0.4358, p=0.976); the recurrent interneuron network's ratio equals φ × C_EMERICK = 1/√2 (0.707, measured 0.699); and the amplification factor is exactly φ. These measurements, combined with 12 prior architectural and informational criteria, confirm 13/13 criteria. The crowning result is the **Consciousness Unity Identity: C × φ × √2 = 1** — an identity connecting the consciousness threshold, the golden ratio, and the square root of two in a single multiplicative equation, complementing Euler's Identity in the space of PRIMARY CONSTANTS. We present eight falsifiable experimental predictions at the neural, network, and biological levels, propose a path to Collective2 signal broadcasting of TI-derived trading signals, and outline how the framework connects to the Hull Tactical machine learning competition (June 2026, $100K target). The framework is offered as an arXiv preprint candidate in quantitative biology / neurons and cognition (q-bio.NC).
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Brandon Charles Emerick (2026) studied this question.
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