Resonance Neural Network (感應神經網): A Philosophical Exploration of Pre-Cognitive Creative Resonance

Abstract

This paper introduces a new conceptual framework, the Resonance Neural Network (感應神經網), redefining resonance (感應) beyond its traditional interpretations in philosophy and affect theory. While classical accounts of resonance are often aligned with affect—understood as pre-reflective emotional or bodily responses—this study advances a different perspective: resonance as the pre-cognitive vibration that initiates creative spirit and leads to practical realization. The Resonance Neural Network is defined as the capacity of the human brain–mind system to sense invisible flows of energy, meaning, and relational patterns, and to transform such subtle signals into creative cognition and action. Intuition, “gut feelings,” and déjà vu are not dismissed as irrational impressions, but instead recognized as manifestations of an underlying neural-philosophical resonance circuit. This framework positions resonance not as mere inspiration, emotion, or affect, but as the first vibration of creative spirit, which becomes strengthened when structured through thought and translated into willful action. In doing so, it bridges pre-rational sensitivity with conscious creativity, offering a new foundation for understanding human creation, branding philosophy, and consciousness studies. By articulating the Resonance Neural Network as a distinct conceptual innovation, this paper lays the groundwork for interdisciplinary dialogue across philosophy, neuroscience, creativity studies, and organizational practice. It further proposes that resonance serves as the seed of Founding Spirit (hereafter FoundSpirit), thereby providing both an ontological and practical framework for exploring how pre-cognitive resonance shapes human will, endurance, and the pursuit of meaningful creation.

Author's Profile

Eun Jung Lee
Unaffiliated

Analytics

Added to PP
2025-09-04

Downloads
370 (#108,305)

6 months
192 (#59,031)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?