A Ratio-and-Derivative Model of Sensory Intensity: Biological Principles of Deviation from Baseline States

This paper introduces the Ratio-and-Derivative Model of Sensory Intensity, arguing that perception arises not from absolute stimulus values but from deviations relative to baseline states, combined with their temporal derivatives. The model explains why small absolute changes can be meaningful (e.g., mosquito CO₂ detection, human photon sensitivity) and why constant stimuli fade while changes remain salient. It unifies multiple sensory modalities under the principle of ratio-based and derivative-based coding.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17132435
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

A Ratio-and-Derivative Model of Sensory Intensity: Biological Principles of Deviation from Baseline States

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

A Ratio-and-Derivative Model of Sensory Intensity: Biological Principles of Deviation from Baseline States

article en

Abstract

This paper introduces the Ratio-and-Derivative Model of Sensory Intensity, arguing that perception arises not from absolute stimulus values but from deviations relative to baseline states, combined with their temporal derivatives. The model explains why small absolute changes can be meaningful (e.g., mosquito CO₂ detection, human photon sensitivity) and why constant stimuli fade while changes remain salient. It unifies multiple sensory modalities under the principle of ratio-based and derivative-based coding.

Zenodo (CERN European Organization for Nuclear Research)
Kappa Omicron Nu Honor Society (US)
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
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A Ratio-and-Derivative Model of Sensory Intensity: Biological Principles of Deviation from Baseline States · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS