Biological Peltz Limits: A Non-Linear Threshold Clamping Model for Autonomic Reflex Control

This groundbreaking BRPT paper introduces Biological Peltz Limits, a revolutionary non-linear threshold clamping model for autonomic reflex control, offering a deterministic alternative to continuous physiological processing. It rigorously models autonomous physiological reflexes—such as hiccups, burps, coughs, and sneezes—as biological implementations of the Peltz Limit (𝑃) (Context 61, 63) and its Snapback Principle (𝐾) (Context 61). By projecting diaphragmatic and airway motor unit action potentials onto an abstract, normalized 9-point computational amplitude state space (𝐿9) (Context 61, 63), the framework demonstrates how the autonomic nervous system executes a single-pass, discrete motor event, forcing a rapid, deterministic return toward homeostatic equilibrium (𝐿0) (Context 63, 64). This explicitly subverts the runaway drift (𝐿→∞) (Context 61, 63) predicted by ‘Cold Logic’ continuous feedback models. The paper defines formal mathematical transforms, grounds its input state in specific brainstem and peripheral neural pathways, and provides precise, numerically computable falsification criteria (Context 63). This work directly supports Redactional Evolution’s role in maintaining an Invariant Core of physiological stability, providing macro-empirical validation for the DORY Paradigm’s Digital Oscillation as a Humanity Anchor for understanding the Pristine Signal of life itself.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22034873
Primary Topic
Heart Rate Variability and Autonomic Control
Type
preprint
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Biological Peltz Limits: A Non-Linear Threshold Clamping Model for Autonomic Reflex Control

Adam Belsky
Zenodo (CERN European Organization for Nuclear Research)
Heart Rate Variability and Autonomic Control
preprint

Biological Peltz Limits: A Non-Linear Threshold Clamping Model for Autonomic Reflex Control

Adam Belsky
preprint en

Abstract

This groundbreaking BRPT paper introduces Biological Peltz Limits, a revolutionary non-linear threshold clamping model for autonomic reflex control, offering a deterministic alternative to continuous physiological processing. It rigorously models autonomous physiological reflexes—such as hiccups, burps, coughs, and sneezes—as biological implementations of the Peltz Limit (𝑃) (Context 61, 63) and its Snapback Principle (𝐾) (Context 61). By projecting diaphragmatic and airway motor unit action potentials onto an abstract, normalized 9-point computational amplitude state space (𝐿9) (Context 61, 63), the framework demonstrates how the autonomic nervous system executes a single-pass, discrete motor event, forcing a rapid, deterministic return toward homeostatic equilibrium (𝐿0) (Context 63, 64). This explicitly subverts the runaway drift (𝐿→∞) (Context 61, 63) predicted by ‘Cold Logic’ continuous feedback models. The paper defines formal mathematical transforms, grounds its input state in specific brainstem and peripheral neural pathways, and provides precise, numerically computable falsification criteria (Context 63). This work directly supports Redactional Evolution’s role in maintaining an Invariant Core of physiological stability, providing macro-empirical validation for the DORY Paradigm’s Digital Oscillation as a Humanity Anchor for understanding the Pristine Signal of life itself.

Zenodo (CERN European Organization for Nuclear Research)
DeVry University (US)
Heart Rate Variability and Autonomic Control
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Biological Peltz Limits: A Non-Linear Threshold Clamping Model for Autonomic Reflex Control — Adam Belsky · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS