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- W4367173239 abstract "Abstract To navigate in spatial fields of sensory cues, bacterial cells employ gradient sensing by temporal comparison for run-and-tumble chemotaxis. Sensing and motility noise imply trade-off choices between precision and accuracy. To gain insight into these trade-offs, we learn optimal chemotactic decision filters using supervised machine learning, applying support vector machines to a biologically motivated training dataset. We discuss how the optimal filter depends on the level of sensing and motility noise, and derive an empirical power law for the optimal measurement time <?CDATA $T_{textrm{eff}}sim D_{textrm{rot}}^{-alpha }$ ?> with <?CDATA $alpha =0.2, ldots ,0.3$ ?> as a function of the rotational diffusion coefficient D rot characterizing motility noise. A weak amount of motility noise slightly increases chemotactic performance." @default.
- W4367173239 created "2023-04-28" @default.
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- W4367173239 date "2023-05-01" @default.
- W4367173239 modified "2023-10-02" @default.
- W4367173239 title "Learning run-and-tumble chemotaxis with support vector machines" @default.
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- W4367173239 doi "https://doi.org/10.1209/0295-5075/acd0d3" @default.
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