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Bumblebees Use Sequential Scanning of Countable Items in Visual Patterns to Solve Numerosity Tasks.

MaBouDi, H; Galpayage Dona, HS; Gatto, E; Loukola, OJ; Buckley, E; Onoufriou, PD; Skorupski, P; Chittka, L (2020) Bumblebees Use Sequential Scanning of Countable Items in Visual Patterns to Solve Numerosity Tasks. Integr Comp Biol, 60 (4). pp. 929-942. ISSN 1557-7023 https://doi.org/10.1093/icb/icaa025
SGUL Authors: Skorupski, Peter

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Abstract

Most research in comparative cognition focuses on measuring if animals manage certain tasks; fewer studies explore how animals might solve them. We investigated bumblebees' scanning strategies in a numerosity task, distinguishing patterns with two items from four and one from three, and subsequently transferring numerical information to novel numbers, shapes, and colors. Video analyses of flight paths indicate that bees do not determine the number of items by using a rapid assessment of number (as mammals do in "subitizing"); instead, they rely on sequential enumeration even when items are presented simultaneously and in small quantities. This process, equivalent to the motor tagging ("pointing") found for large number tasks in some primates, results in longer scanning times for patterns containing larger numbers of items. Bees used a highly accurate working memory, remembering which items have already been scanned, resulting in fewer than 1% of re-inspections of items before making a decision. Our results indicate that the small brain of bees, with less parallel processing capacity than mammals, might constrain them to use sequential pattern evaluation even for low quantities.

Item Type: Article
Additional Information: © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Evolutionary Biology, 0608 Zoology
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Biomedical Education (INMEBE)
Journal or Publication Title: Integr Comp Biol
ISSN: 1557-7023
Language: eng
Dates:
DateEvent
1 October 2020Published
5 May 2020Published Online
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
EP/P006094/1Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
RGP0022/2014Human Frontier Science Programhttp://dx.doi.org/10.13039/501100000854
UNSPECIFIEDRoyal Societyhttp://dx.doi.org/10.13039/501100000288
PubMed ID: 32369562
Web of Science ID: WOS:000593039200013
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112757
Publisher's version: https://doi.org/10.1093/icb/icaa025

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