Explaining Cognitive and Perceptual Phenomena Through Resonance of Closed Neural Network Geometries (RCNNG): A Unified Framework
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.
Authors
- Hasan Niazi
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-26
- DOI
- https://doi.org/10.5281/zenodo.22109096
- Primary Topic
- Action Observation and Synchronization
- Type
- preprint