Paper 12: Neurofiberoptics

Category: mathematics Status: Pre-filesystem foundational work

Abstract

Neurofiberoptics proposes a mathematical framework where neural signal transmission is modeled as light propagation through fiber optic channels. This bridges the gap between biological neural networks (electrochemical signaling) and optical computing (photonic signaling), providing a unified mathematical treatment of both.

Theoretical Framework

Neurofiberoptics provides:

• A fiber-optic model of neural signal transmission
• Wave-guided information propagation through myelinated axon analogs
• Modal analysis of cognitive signal channels
• Multiplexing and demultiplexing of parallel cognitive streams

The framework treats neural pathways as waveguides with specific propagation characteristics (refractive index, modal structure, dispersion), allowing the application of fiber optic communication theory to neural computation.

Connection to Other Papers

• Paper 7 (Mobius Strip Wavelet Theory): Wavelet analysis on the neurofiberoptic channels
• Paper 11 (Synthecites): Neurofiberoptic networks connect synthecite entities
• Paper 14 (PhotonicMind): Biologically-grounded AGI using photonic principles
• Paper 48 (Biophotonic Feedback Loops): Later extension — neural light emission as computational substrate, myelinated axon waveguides (n=1.44 > 1.34)

Implementation Notes

Neurofiberoptic principles are realized in PhotonicMind’s biophotonic processing pipeline, where signal propagation follows waveguide mathematics rather than simple matrix multiplication.

Historical Context

This is one of the 13 original Mobley research papers. It provides the mathematical foundation that Paper 48 (Biophotonic Feedback Loops) later validated and extended with specific biological parameters.

Pre-filesystem theoretical work — stub created 2026-03-09 from papers.db and context.db records.