ArticleiScience2025
Statistical olfactory learning in honey bees.
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
4 authors.
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Abstract
Statistical learning is a cognitive process for detecting regularities in sensory inputs typically presented as strings of sounds, shapes, or objects, enabling species to predict future events, thereby guiding decision-making and behavior. Such an adaptive trait has been demonstrated in vertebrates, including human and non-human primates, birds, and dogs. It remains unclear whether invertebrates, which possess smaller and simpler neural systems than vertebrates, can extract statistical information from sensory inputs. Here, we show for the first time that honey bees are able to learn and recall the temporal (statistical) structure of an olfactory stimulus. These results suggest that statistical learning is a fundamental component of a conserved cognitive toolkit present, even in invertebrates.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.