ArticleProceedings of the National Academy of Sciences of the United States of America2024
Parallel vector memories in the brain of a bee as foundation for flexible navigation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Influence of Bee Movements on Patterns of Pollen Transfer between Plants: An Exploratory Model.Integrative and comparative biology · 2025Article
- NSF Workshop Report: Exploring Measurements and Interpretations of Intelligent Behaviors Across Animal Model Systems.The Journal of comparative neurology · 2025Article
- Vector-based navigation in desert ants: the significance of path-integration vectors.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2025Article
- Reply to Zhang et al.: Parallel vector memories are required to explain all behavioral data in navigating bumblebees.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Parallel vector memories or single memory updating?Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Navigating space and the developing mind.Frontiers in psychology · 2025Review
- Toward the vector map in insect navigation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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Abstract
Insects rely on path integration (vector-based navigation) and landmark guidance to perform sophisticated navigational feats, rivaling those seen in mammals. Bees in particular exhibit complex navigation behaviors including creating optimal routes and novel shortcuts between locations, an ability historically indicative of the presence of a cognitive map. A mammalian cognitive map has been widely accepted. However, in insects, the existence of a centralized cognitive map is highly contentious. Using a controlled laboratory assay that condenses foraging behaviors to short distances in walking bumblebees, we reveal that vectors learned during path integration can be transferred to long-term memory, that multiple such vectors can be stored in parallel, and that these vectors can be recalled at a familiar location and used for homeward navigation. These findings demonstrate that bees meet the two fundamental requirements of a vector-based analog of a decentralized cognitive map: Home vectors need to be stored in long-term memory and need to be recalled from remembered locations. Thus, our data demonstrate that bees possess the foundational elements for a vector-based map. By utilizing this relatively simple strategy for spatial organization, insects may achieve high-level navigation behaviors seen in vertebrates with the limited number of neurons in their brains, circumventing the computational requirements associated with the cognitive maps of mammals.
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