Society & Economicspreprint2026-08-26

Explaining Cognitive and Perceptual Phenomena Through Resonance of Closed Neural Network Geometries (RCNNG): A Unified Framework

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Abstract

This revision introduces several key improvements to the RCNNG manuscript: Observer Reformulation: The observer definition was rewritten using the functional notation O(t)=R(G(t)) to remove any implication of an independent monitoring entity and to align it with RCNNG’s resonance-based ontology. Clarified Memory Mechanisms: The distinction between memorization (strengthening internal CRGs) and understanding (forming inter‑conceptual links) was refined and aligned with classical memory research. Bibliographic Corrections: Missing foundational references—Ebbinghaus (1885), Craik & Lockhart (1972), Tulving (1983)—were added. Phantom‑limb references (Ramachandran 1998; Flor 2006) were also included. Perceptual Accuracy: The taste‑related example was corrected to clarify that fingers lack gustatory receptors and therefore produce no gustatory signals. Self Definition Update: The concept of the self was reformulated as the momentary intensification of linked or unlinked CRGs within the unified network, eliminating any suggestion of an independent structure.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-26

Authors: Hasan Niazi