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• W2144433748 abstract "Animals have evolved intricate search strategies to find new sources of food. Here, we analyze a complex food seeking behavior in the nematode Caenorhabditis elegans (C. elegans) to derive a general theory describing different searches. We show that C. elegans, like many other animals, uses a multi-stage search for food, where they initially explore a small area intensively (‘local search’) before switching to explore a much larger area (‘global search’). We demonstrate that these search strategies as well as the transition between them can be quantitatively explained by a maximally informative search strategy, where the searcher seeks to continuously maximize information about the target. Although performing maximally informative search is computationally demanding, we show that a drift-diffusion model can approximate it successfully with just three neurons. Our study reveals how the maximally informative search strategy can be implemented and adopted to different search conditions." @default.
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• W2144433748 date "2014-12-09" @default.
• W2144433748 modified "2023-10-10" @default.
• W2144433748 title "Maximally informative foraging by Caenorhabditis elegans" @default.
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• W2144433748 doi "https://doi.org/10.7554/elife.04220" @default.
• W2144433748 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4358340" @default.
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