Single-cell learning in Stentor coeruleus is governed by a fractional-order low-pass filter
Salvador Escobedo, Aline Moran, Frank Wu, Elvira Magana, Akira Bowler, Karina Rodriguez, Gurleen Kaur, Julianna Mululu, Katlyn Benton, Aya Alkabbani, Ximena Garcia ArceoiD, Wallace F. MarshalliD
Abstract
Single cells display a range of complex behaviors normally associated with a nervous system, including basic forms of learning like habituation. The giant ciliate Stentor coeruleus habituates to mechanical stimuli and shows many of the hallmark features characteristic of habituation in animal cells. When Stentor cells are mechanically stimulated by a predator or other stimuli, an action potential fires and leads to calcium-dependent contraction. When the same cell is repeatedly stimulated, it becomes less likely to respond, thus showing habituation. While the molecular basis of habituation in Stentor is not yet known, it has been shown to involve CaMKII, which also plays a key role in learning in neurons. The presence of an action potential, the role of calcium in the response, and the involvement of CaMKII in habituation, all suggest a potential deep conservation of learning mechanisms between single-celled protists and the neurons of animals. A number of different models have been proposed to explain habituation in a single cell but existing data in Stentor are unable to clearly rule out any of these models or favor others. Here we report a frequency domain analysis of habituation in which we measure the response probability of Stentor cells to pulsatile stimuli delivered at a range of frequencies. We find that the Bode plot of the frequency response resembles a classic low pass filter, with a flat passband at low frequencies, a clear corner frequency, and a linear roll-off. However, unlike standard low pass filter, the roll-off occurs with a slope of -30dB/decade, thus showing a fractional-order behavior. None of the existing models for habituation in Stentor, at least in their current form, predict this form of the frequency response, leading us to look for other explanations. We tested, and ruled out, a model based on a refractory period associated with the re-extension of cells following contraction. Inspired by methods used in analog circuit design to approximate fractional order systems using conventional lumped devices, we developed a model in which a series of distinct molecular species, such as different multimeric complexes of CaMKII, acting in parallel to inhibit the response, produce a fractional-order effect. The fractional order behavior of habituation in Stentor resembles the fractional-order behavior of adaptation in neurons, further supporting the idea that neurons may employ similar mechanisms for learning as were already present in unicellular eukaryotes prior to the evolution of metazoa.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Assay
- Research Focus
- Approach
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
- A receptor-inactivation model for single-celled habituation in Stentor coeruleus
Deepa H. Rajan, Wallace F. Marshall·Current BiologyPeer-reviewed·Jun 24, 2025
- A quantitative portrait of habituation in Stentor coeruleus
Tejas Ramdas, Nhi Doan, … Samuel Joseph Gershman·bioRxiv·Oct 7, 2026
- Associative learning in the protozoan Stentor coeruleus
Nhi Doan, Austen Theroux, … Samuel Joseph Gershman·bioRxiv·Sep 10, 2026
- Learning in single cells: biochemically-plausible models of habituation
Lina Eckert, María Sol Vidal-Saez, … Jeremy Gunawardena·Current BiologyPeer-reviewed·Nov 19, 2024
- An improved Stentor coeruleus genome and time-resolved transcriptomics link cyclic nucleotide-dependent kinase signaling to single-cell habituation
Yue Miao, Danielle E. Khost, … Samuel Joseph Gershman·bioRxiv·Jul 23, 2026
- Mechanosensation, habituation, and behavioural plasticity in tintinnid ciliates
Hannah Laeverenz-Schlogelhofer, Kirsty Y. Wan·bioRxiv·Jul 17, 2026