Determinations in Nanomedicine & Nanotechnology

The Charge Neutralization Process (CNP) as a Boundary- Driven Informational Stabilization Framework Toward an Integrative Model of Biological Memory, Adaptive Organization, and Consciousness

Pavle Vesić*

Independent researcher, Serbia

*Corresponding author:Pavle Vesić, Independent Researcher, Serbia

Submission: May 18, 2026;Published: June 10, 2026

DOI: 10.31031/DNN.2026.03.000570

ISSN: 2832-4439
Volume3 Issue 4

One of the central unresolved questions in modern science concerns the relationship between physical information, biological organization, and conscious experience. Although quantum mechanics successfully describes microscopic physical behaviour and neuroscience increasingly explains large-scale neural dynamics, a coherent framework capable of connecting informational physics with adaptive biological structure remains incomplete.

Recent developments in information theory, active inference, systems neuroscience, and thermodynamics increasingly suggest that living systems may be understood as boundaryregulated informational processes rather than purely mechanical structures. The Markov Blanket formalism proposed by Judea Pearl and later expanded within Karl Friston’s active inference framework provides an important mathematical description of such boundarymediated organization [1-4].

The Charge Neutralization Process (CNP) proposed in this paper should not be interpreted as a replacement for the Free Energy Principle (FEP), but rather as a lower-level stabilization framework potentially compatible with it. The Free Energy Principle provides a highly general description of how adaptive systems maintain structural integrity by minimizing prediction error and variational free energy across Markov blankets.

The present framework attempts to extend this perspective by proposing possible informational and biophysical mechanisms through which such stabilization dynamics may manifest at biological boundaries. Within this interpretation:
a. FEP describes the global adaptive imperative,
b. while CNP attempts to model the localized compensatory dynamics operating at the interface between organism and environment.

Thus, the two frameworks may be understood as complementary rather than competing descriptions of adaptive organization across multiple scales.

Consider a biological boundary represented by an initial informational state:

External energetic interactions perturb this equilibrium through an environmental operator U_env(f), producing a disturbed state:

The informational entropy of the system is represented through the Von Neumann entropy relation:

The stabilization process is modelled using Completely Positive Trace-Preserving (CPTP) transformations:

subject to:

The framework assumes biological systems move toward locally minimized entropy states:

rather than absolute zero entropy.

Within the proposed framework, early biological evolution may be interpreted as a progressive emergence of increasingly stable informational architectures capable of preserving adaptive responses to environmental perturbation. The transition from transient molecular interactions toward persistent biological encoding can be modeled as:

where M represents iterative adaptive cycles.
Over sufficiently large iterative timescales:

certain adaptive configurations may approach relative dynamical stability:

Within the CNP framework, repeated photonic perturbations at biological boundaries may have provided a persistent adaptive pressure favouring increasingly efficient sensory stabilization mechanisms. Organisms capable of more accurately detecting, predicting, and compensating for high-frequency environmental variations would possess improved energetic and informational regulation. Over long evolutionary timescales, such iterative stabilization pressures may have progressively selected for specialized photoreceptive structures and increasingly centralized neural processing architectures. In this interpretation, the emergence of visual systems and cortical sensory integration is not viewed as a teleological objective, but as a cumulative adaptive consequence of repeated environmental stabilization demands.

Within the CNP framework, conscious awareness is interpreted not as the primary causal initiator of biological action, but as a secondary monitoring layer associated with already ongoing stabilization dynamics. This perspective offers a reinterpretation of delayed conscious awareness findings, including the Libet readiness-potential experiments. In this model:
i. Perturbation registration occurs first.
ii. Adaptive stabilization dynamics initiate automatically.
iii. Neural systems execute compensatory responses.
iv. Conscious awareness subsequently reconstructs the event.
The framework therefore interprets consciousness as a largescale integrative visualization process associated with adaptive boundary regulation.

Phantom limb pain

Within the CNP framework, phantom limb pain may be interpreted as a persistent mismatch between established internal body representations and the absence of expected sensory feedback.

Sleep and low-noise states

The framework proposes that sleep and deep meditative states may function as low-noise regulatory modes characterized by:
a. reduced sensory influx,
b. lower-frequency neural synchronization,
c. increased informational reorganization.

Aging as adaptive degradation

Aging may be interpreted as the progressive accumulation of unresolved adaptive errors across repeated stabilization cycles.

i. The framework generates experimentally approachable hypotheses involving:
a. frequency-correlated compensatory dynamics,
b. non-Markovian persistence effects,
c. neural entropy modulation,
d. synchronization during altered states.

ii. Potential methodologies include:
a. high-density EEG,
b. optical spectroscopy,
c. SQUID-based measurements,
d. entropy analysis,
e. inflammatory biomarker tracking.

The manuscript should avoid implying literal zero entropy in living systems.

Instead of:

the preferred expression is:

A generalized compensatory response model is recommended:

where:

a. α represents stabilization proportionality,
b. ε captures stochastic biological noise.

Non-Markovian persistence may additionally be modelled using temporal memory kernels:

The Charge Neutralization Process framework should be understood as an exploratory interdisciplinary model rather than a completed physical theory. Its primary contribution lies in proposing a unified informational language for discussing:

a. adaptive stabilization,
b. biological boundary regulation,
c. informational persistence,
d. neural organization,
e. and conscious experience.

Whether the CNP ultimately proves physically realizable or remains primarily a conceptual abstraction, the framework offers a novel interdisciplinary perspective for investigating the relationships among information, adaptation, biology, and consciousness.