Habituation Under Noise: a pre-registered stochastic re-examination of biochemical habituation motifs
Year: 2026
Type: dataset
Abstract: Four biochemical motifs are known to satisfy all seven single-stimulus hallmarks of habituation as deterministic ordinary differential equations. This work re-examines all four with exact stochastic simulation, treating molecular copy number as an axis to scan, under criteria sealed by commit before each run and three-outcome verdicts that separate a refuted hallmark from an unmeasurable one. Basic habituation survives to single-digit molecule counts in every motif; the finer hallmarks become unmeasurable rather than false; and the standard habituation-time criterion is itself biased on noisy ensemble means. Data and code accompanying the manuscript Habituation at a handful of molecules: a stochastic re-examination of biochemical learning motifs. Code is licensed MIT; data, figures and the manuscript CC BY 4.0. The archive is regenerated from the repository by a single command (scripts/export_data_release.py); MANIFEST.csv carries a SHA-256 for every file.
Author: Sehat, Soroush
Institution: Biruni University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7204238878