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March 16, 20260 citationsOpen Access

Spatio-Spectral Information Dynamics +Adaptive Thermo-Data Membrane Architecture

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NNNorbert Ferenc Nagy

Key Points

  • The research aims to develop a unified theory for communication that incorporates spatio-spectral information dynamics and adaptive membranes.
  • Introduced a mathematical framework for spatio-spectral information representation.
  • Used retina-inspired perception models for structured signal coding.
  • Developed an adaptive membrane architecture to manage loss and distortion.
  • Employed stability theory and bifurcation analysis in mathematical proofs.
  • Validated the theory with numerical simulations.
  • Established a layered model of communication as a spatio-spectral field.
  • Demonstrated the role of guided loss in structured communication.
  • Showed that the framework integrates information geometry with thermodynamic concepts.
  • Validated geodesic routing within the proposed model.

Abstract

This work introduces a unified communication field theory derived from retina-inspired perception operators, frequency-structured information coding, and artificial-intelligence-based pattern communication. The theory models information as a spatio-spectral field Psi (x, t, f), where spatial, temporal, and spectral dimensions form a unified representation space for structured signal propagation. To describe realistic communication environments, the framework extends classical signal-plus-noise models by introducing an adaptive membrane architecture that guides structured loss, dissipation, and distortion away from the information-bearing core. The resulting architecture separates communication dynamics into three interacting layers: core signal transport, guided loss membrane, and residual background noise. This decomposition enables a unified treatment of communication, information geometry, thermodynamic dissipation, entropy production, and AI-driven signal interpretation within a single mathematical framework. The work includes a mathematical core, theorem–lemma–proof formalization, stability theory, curvature-coupled dynamics, bifurcation analysis, geodesic routing, and numerical validation. This upload presents a unified theoretical framework connecting: - retina-inspired perception operators - frequency-structured information coding - AI–AI communication field formalism - Spatio-Spectral Information Dynamics - Adaptive Thermo-Data Membrane Architecture - information geometry and curvature coupling - geodesic routing and network information curvature - entropy production and structured irreversibility - numerical validation The central model treats communication not merely as signal plus noise, but as a layered spatio-spectral field: Psiₜot = Psic + Psiₘ + Psiᵣ where the core field carries structured payload, the membrane field guides structured loss and dissipation, and the residual field captures non-structured background disturbance. A central conceptual principle of the work is: loss is not forbidden; loss is guided. The package includes the mathematical core, theorem–lemma–proof structures, membrane-architecture extensions, stability results, entropy formulations, routing geometry, and publication-compatible numerical material. All rights reserved. Author: Nagy Norbert Ferenc

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Cite This Study

Norbert Ferenc Nagy (2026) studied this question.

synapsesocial.com/papers/69b79e968166e15b153ac276https://doi.org/10.5281/zenodo.19014171
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