Statistical olfactory learning in honey bees
Por:
Marcout, C, Santolin, C, Giurfa, M and Paoli, M
Publicada:
21 nov 2025
Ahead of Print:
1 oct 2025
Resumen:
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.
Filiaciones:
Marcout, C:
Sorbonne Univ, CNRS, Inserm, NeuroSU, F-75005 Paris, France
Sorbonne Univ, Inst Biol Paris Seine, IBPS, CNRS,Inserm, F-75005 Paris, France
Univ Tours, Inst Rech Biol Insecte, CNRS, F-37200 Tours, France
:
Inst Recerca St Joan Deu, Barcelona 08950, Spain
Giurfa, M:
Sorbonne Univ, CNRS, Inserm, NeuroSU, F-75005 Paris, France
Sorbonne Univ, Inst Biol Paris Seine, IBPS, CNRS,Inserm, F-75005 Paris, France
Paoli, M:
Sorbonne Univ, CNRS, Inserm, NeuroSU, F-75005 Paris, France
Sorbonne Univ, Inst Biol Paris Seine, IBPS, CNRS,Inserm, F-75005 Paris, France
Univ Bourgogne, Ctr Sci Gout & Alimentat, AgroSup Dijon, CNRS,INRAe, F-21000 Dijon, France
Green Submitted, gold
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