A digitization theory of the Weber-Fechner law
Abstract
Ever since the publication of Shannons article about information theory, there have been many attempts to apply information theory to the neuroscience field. Meanwhile, the Weber- Fechner law of psychophysics states that the magnitude of a subjective sensation of a person increases in proportion to the logarithm of the intensity of the external physical-stimulus. It is hardly surprising that we assign the amount of information to the response in the Weber- Fechner law. But, to date no one has succeeded in applying information theory directly to that law: the direct links between information theory and that response in the Weber-Fechner law have not yet been found. The proposed theory unveils a link between information theory and that response, and differs subtly from the field such as neural coding that involves complicated calculations and models. Because my theory targets the Weber-Fechner law which is a macroscopic phenomenon, this theory does not involve complicated calculations. My theory is expected to mark a new era in the fields of sensory perception research. My theory must be studied in parallel with the fields of microscopic scale such as neural coding. This article ultimately aims to provide the fundamental concepts and their applications so that a new field of research on stimuli and responses can be created.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Weber's law and natural inference
Jeffrey M. Beck, Ingmar Kanitscheider, … Alexandre Pouget·bioRxiv·Aug 10, 2024
- Efficient coding makes and breaks Webers law
Arthur Prat-Carrabin, Raphael Yamamoto, Samuel Joseph Gershman·bioRxiv·Aug 19, 2026
- A unified framework for perceived magnitude and dicriminability of sensory stimuli
Jingyang Zhou, Lyndon Duong, Eero P. Simoncelli·bioRxiv·Apr 30, 2022
- Magnitude estimation reveals Poisson-like noise underlying perception
Cristina Rodríguez-Arribas, Joan López‐Moliner, Daniel Linares·bioRxiv·Sep 2, 2026
- The Series of a Four-node Motif and Coherent Type-1 Feed-forward Loop can Provide Sensitive Detection over Arbitrary Range of Input Signal, thereby Explain Weber's Law in Higher-Order Sensory Processes, and Compute Logarithm
Dinkar Wadhwa·Journal of Theoretical BiologyPeer-reviewed·Mar 31, 2022
- Stimulus sensitivity in noisy neural systems
Carlo Paris, Steeve Laquitaine, … Ulisse Ferrari·bioRxiv·Dec 25, 2025