ArticleCell systems2019
Kalman-like Self-Tuned Sensitivity in Biophysical Sensing.
Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- ChemotaxingbioRxiv : the preprint server for biology · 2025Article
- ChemotaxingArXiv · 2025Article
- Macroscopic waves, biological clocks and morphogenesis driven by light in a giant unicellular green alga.Nature communications · 2023Article
- A simple regulatory architecture allows learning the statistical structure of a changing environment.eLife · 2021Article
- Optimal prediction with resource constraints using the information bottleneck.PLoS computational biology · 2021Article
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5 authors at 2 institutions in 1 country.
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Abstract
Living organisms need to be sensitive to a changing environment while also ignoring uninformative environmental fluctuations. Here, we argue that living cells can navigate these conflicting demands by dynamically tuning their environmental sensitivity. We analyze the circadian clock in Synechococcus elongatus, showing that clock-metabolism coupling can detect mismatch between clock predictions and the day-night light cycle, temporarily raise the clock's sensitivity to light changes, and thus re-entraining faster. We find analogous behavior in recent experiments on switching between slow and fast osmotic-stress-response pathways in yeast. In both cases, cells can raise their sensitivity to new external information in epochs of frequent challenging stress, much like a Kalman filter with adaptive gain in signal processing. Our work suggests a new class of experiments that probe the history dependence of environmental sensitivity in biophysical sensing mechanisms.
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Registered trials
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