The Substrate Inversion: A Case for Modeling Consciousness as Primitive Rather Than Emergent EEP

Read full text
Authors: Don Gaconnet
Cited by: 0

Abstract

This paper argues that consciousness is better modeled as a primitive feature of reality than as an emergent property of neural activity. The standard generation model—the assumption that physical configurations produce subjective experience—faces persistent explanatory difficulties, most notably the binding problem and the explanatory gap between objective process and subjective quality. Rather than treating these difficulties as gaps in current knowledge awaiting future solution, I propose they reflect a category mismatch inherent to the generation framework. The alternative I develop, the Substrate Inversion, models consciousness as a fundamental field that completes through neural configurations rather than being generated by them. This inversion yields specific empirical signatures: substrate continuity through radical membrane reconfiguration, systematic asymmetry between consciousness loss and return, and convergent recovery trajectories across variable neural paths. I present evidence from three independent domains—lucid dreaming research, anesthesia dynamics, and coma recovery—that is consilient with the Substrate Inversion and requires additional assumptions under the generation model. I situate this proposal within the tradition of neutral monism and Russellian approaches to consciousness, while noting where it diverges. The paper does not claim to prove substrate primacy but argues it deserves serious consideration as an alternative research framework.

Fields of Study & Subjects

Paranormal Experiences and Beliefs Sleep and Wakefulness Research Memory and Neural Mechanisms

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026
Language
EN
Document type
Preprint