A BIOCRONOLOGICAL FRAMEWORK FOR UNDERSTANDING SUBJECTIVE TEMPORAL EXPERIENCE AND BIOLOGICAL AGING: THE INFORMATIONAL DENSITY PRINCIPLE OF TIME

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Authors: Lowis Arruda
Cited by: 2

Abstract

This paper presents a novel theoretical framework — the Informational Density Principle of Time (IDPT) — that reconceptualizes the relationship between consciousness, temporal perception, and biological aging. Grounded in the ancient hermetic principle of microcosm-macrocosm correspondence ("As above, so below") and drawing upon Einstein's theory of relativity, William James's psychology of time perception, and contemporary neurobiological research on stress and neural plasticity, we propose that subjective time experience and cellular aging are not functions of chronological time but rather of the informational density processed by consciousness and the emotional resistance encountered during processing. Following the premise that each mind contains within itself the patterns of the entire cosmos — the microcosm reflecting the macrocosm — we demonstrate that relativistic principles operate analogously in psychological spacetime. The core equation establishes that Perceived Time (TP) is directly proportional to Informational Density (DI) and Emotional Intensity (IE), and inversely proportional to Cognitive Processing efficiency (PC). We further introduce the Aura Factor (A), representing accumulated resilience from successfully navigated crises. This framework provides a unified explanation for phenomena ranging from tachypsychia in high-performance athletes to premature aging in chronically stressed individuals, and offers testable hypotheses for future empirical research at the intersection of chronobiology, cognitive neuroscience, and psychophysiology.

Fields of Study & Subjects

Neuroscience and Music Perception Psychological and Temporal Perspectives Research Circadian rhythm and melatonin

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
22 April 2026
Language
PT
Document type
Preprint