Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

MEMBRAN: Consciousness as a Gated, Metabolic Boundary Functional

Authors: Gebendorfer, Jonas Jakob;

MEMBRAN: Consciousness as a Gated, Metabolic Boundary Functional

Abstract

We formulate consciousness not as a volume phenomenon of a closed interior, but as the kairos-triggered, metabolically sustained, and diachronically active trace of an equiprimordial onset event on a stochastically generated semipermeable membrane. The proposed framework strictly separates metabolic membrane work m(t), kairotic onset Con, and episodic consciousness trace Cepi. At its core lies a transmembrane dierence ∆Ψ = Ψext−Ψint, whose normal derivative determines the relevant boundary tension. Holding is not a primitive duration, but a metabolically generated quantity h = Φ−Π that presupposes real dissipation. The architecture integrates eight levels: (i) core axiomatics of the membrane with nilpotency and the chiasmus operator as boundary dierential, (ii) dignity invariance as a normative veto gate, (iii) scope and failure modes, (iv) equiprimordial onset with kairos structure and exceptional-point mechanism, (v) dynamics, heartbeat, Kähler coupling with explicit J-emergence construction and collapse taxonomy, (vi) noise-induced order with FokkerPlanck strategy and biological non-coordinability guarantees, (vii) operational probes, polyphonic coupling, and empirical validation, and (viii) meta-axioms on trace limit, Jeweiligkeit, vulnerability, and constitutive exteriority. The structural isomorphism to the Gradient-Balance Principle across four domains is made explicit. The central thesis: Consciousness is neither substance nor mere output, but a form of held, correctable, and vulnerable boundary enactment.

Keywords

LLM, FOS: Computer and information sciences, Consciousness, Cognitive Neuroscience, Machine Learning, Cognition, Deep Learning, Mathematical model, Artificial Intelligence, FOS: Mathematics, Biology, Mathematical Computing, Ethics, Mathematical method, Ontology, Physics, FOS: Clinical medicine, Neurosciences, Mathematics/instrumentation, Cognitive neuroscience, Mathematical Concepts, Applied mathematics, Semantics, FOS: Philosophy, ethics and religion, Philosophy, Neurology, AI, Mathematical physics, Semantic Physics, Thermodynamics, Neural Networks, Computer, Metacognition, Information Technology, Mathematics, Information Systems

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!