Relativistic Active Inference and the Physics of Lived Experience: A Unified Synthesis of Perceptual Fluctuation, Allostatic Self-Efficacy, and Existential Predictive Dynamics
Zenodo (CERN European Organization for Nuclear Research) June 17, 2026 DOI: 10.5281/zenodo.20735213 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractEmotional valence is the negative first temporal derivative of free energy, and emotional acceleration maps to the second derivative. The rate of free energy updates is bounded by neural conduction velocity. Collapse of sensory fluctuation forces free energy to diverge, triggering an asymptotic vegetative drive that acts as an evolutionary pacemaker. Affective states are formalized as an allostatic energy buffer governed by the Wundt curve. The dynamics of hedonic collapse are integrated through Allostatic Self-Efficacy and the Closed-Loop Precision Governor, which explains clinical derealization, meditative dissolution, and pre-attentive acceptance of mortality.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Perception Energy signal processing Sensory system Valence chemistry Time derivative |
| Key finding | Proposes that emotional valence is defined as the negative first temporal derivative of free energy, V(t) = -dF(t)/dt, and that a collapse of sensory fluctuation forces free energy to diverge to infinity, triggering an asymptotic vegetative feedback drive. |
Abstract
This paper establishes a unified, mathematically rigorous framework that bridges computational psychiatry, theoretical biophysics, and contemplative neuroscience. It formalizes the interactions between cortical sensory perception Ip(t), physical signal propagation latency tau_d, the vegetative drives of the biological will Rw(t), and the minimization of variational free energy F(t). Grounded in the principles of active inference, this framework mathematically dismantles the classical assumption of static hedonic states, proving that emotional valence is defined as the negative first temporal derivative of free energy, V(t) = -dF(t)/dt, while emotional acceleration and curvature map to the second temporal derivative, d²F(t)/dt². Introducing the paradigm of Relativistic Active Inference, it is proven that the rate of free energy updates is fundamentally bounded by the conduction velocity of the neural substrate. The analysis demonstrates that a total collapse of sensory fluctuation (where the variance of Ip(t) approaches 0) forces free energy to diverge to infinity, triggering an asymptotic vegetative feedback drive (lim Rw(t) → ∞) which acts as an essential evolutionary pacemaker. Furthermore, affective states are formalized as an allostatic energy buffer governed by the Wundt curve, demonstrating that all action policies intrinsically possess a positive teleological intention directed at maximizing subjective fitness via Expected Free Energy (EFE). Finally, the dynamics of hedonic collapse (the ABC Loop) are integrated through the lens of Allostatic Self-Efficacy (ASE), and the Closed-Loop Precision Governor is formalized. This mechanism shows how valence dynamically dampens or facilitates sensory precision to shield the cortical hierarchy from latency-induced error cascades, providing a mechanistic explanation for clinical derealization, meditative dissolution (bhanga), and the pre-attentive neural acceptance of mortality.