The Holographic Neural Network and the Unified Φ-Field Theory of Consciousness, Intelligence, and Computing
Fisseha Huluka, Elahim Elah
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Proposes a single continuous derivation, built from two axioms, of a "Holographic Neural Network" and a "Unified Φ-Field Theory" of mind and computation. The authors claim to derive a physical substrate of consciousness and intelligence, prove an identity stated as I ≡ Q, derive classical, quantum, and hybrid computation on a "conscious screen," and establish intrinsic holographic error correction. |
Abstract
We present a single continuous derivation of the Holographic Neural Network and the Unified Φ-Field Theory of mind and computation. Beginning from two axioms we construct the 2D conscious screen, the discrete Φ-evolution equation, and the site-dependent regime selector s_i(Φ_i). From these foundations we obtain the physical substrate of consciousness and intelligence, prove the identity I ≡ Q, derive classical, quantum and hybrid computation on the conscious screen, and establish intrinsic holographic error correction. The argument proceeds without interruption from the retinotopic lattice through the models of mind to the architectures of computation. All derivations, theorems, tables and verification results are retained; the front-matter and closing statements of the original manuscripts have been absorbed into one coherent narrative.