![]() Katsnelson E, Motro U, Feldman MW, Lotem A (2011) Individual-learning ability predicts social-foraging strategy in house sparrows. Jandt JM, Bengston S, Pinter-Wollman N, Pruitt JN, Raine NE, Dornhaus A, Sih A (2014) Behavioural syndromes and social insects: personality at multiple levels. ![]() Ings TC, Raine NE, Chittka L (2009) A population comparison of the strength and persistence of innate colour preference and learning speed in the bumblebee Bombus terrestris. ![]() Healy SD, de Kort SR, Clayton NS (2005) The hippocampus, spatial memory and food hoarding: a puzzle revisited. Hagbery J, Nieh JC (2012) Individual lifetime pollen and nectar foraging preferences in bumble bees. Giurfa M, Sandoz JC (2012) Invertebrate learning and memory: 50 years of olfactory conditioning of the proboscis extension response in honeybees. doi: 10.1016/j.tree.2009.02.010Ĭole EF, Morand-Ferron J, Hinks AE, Quinn JL (2012) Cognitive ability influences reproductive life history variation in the wild. doi: 10.1038/424388aĬhittka L, Skorupski P, Raine NE (2009) Speed-accuracy tradeoffs in animal decision making. ![]() doi: 10.1016/j.cub.2008.08.028Ĭhittka L, Dyer AG, Bock F, Dornhaus A (2003) Bees trade off foraging speed for accuracy. doi: 10.1111/j.īurns JG, Dyer AG (2008) Diversity of speed-accuracy strategies benefits social insects. doi: 10.1037/0735-7036.97.2.107īurger H, Dötterl S, Ayasse M (2010) Host-plant finding and recognition by visual and olfactory floral cues in an oligolectic bee. doi: 10.1073/pnas.121034798īitterman ME, Menzel R, Fietz A, Schafer S (1983) Classical-conditioning of proboscis extension in honeybees ( Apis mellifera). This is the first study to demonstrate variation in olfactory learning performance across multiple bumblebee colonies using PER conditioning, suggesting this is an effective paradigm for assessing associative olfactory learning performance both within and among colonies.īiegler R, McGregor A, Krebs JR, Healy SD (2001) A larger hippocampus is associated with longer-lasting spatial memory. There was also significant intercolony variation in final task performance level in the olfactory learning task, and both the strength and persistence of blue preference in the colour learning task. This extent of interindividual variation in learning ability across sensory modalities could be adaptive for colonies dealing with changeable foraging conditions. However, there was considerable variation among workers within each colony in their performance in both learning tasks. Our results showed neither a correlation, nor a trade-off, in individual performance for learning tasks using different sensory modalities. Olfactory learning was assessed using proboscis extension reflex (PER) conditioning and visual (colour) learning was examined using a well-established free-flying paradigm. ![]() Do individuals that are good at learning in one sensory modality also perform well in another (performance is correlated between modalities), or do individuals demonstrate specialisation in learning performance in one modality (trading-off performance between modalities)? We tested these hypotheses by examining the performance of 76 Bombus terrestris workers, from four colonies, in both an odour-and visual learning task. Whilst there is appreciable variation in the cognitive performance of animals, we know surprisingly little about the extent to which learning varies among individuals across different sensory modalities. Animals use cues from a range of sensory modalities to discriminate stimuli and as predictors of reward. ![]()
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