Grouping of visual objects by honeybees

Zhang, Shaowu, Srinivasan, Mandyam V., Zhu, Hong and Wong, Jason (2004) Grouping of visual objects by honeybees. Journal of Experimental Biology, 207 19: 3289-3298. doi:10.1242/jeb.01155

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ123190_OA.pdf Full text (open access) application/pdf 653.52KB 0

Author Zhang, Shaowu
Srinivasan, Mandyam V.
Zhu, Hong
Wong, Jason
Title Grouping of visual objects by honeybees
Journal name Journal of Experimental Biology   Check publisher's open access policy
ISSN 0022-0949
Publication date 2004
Sub-type Article (original research)
DOI 10.1242/jeb.01155
Open Access Status File (Publisher version)
Volume 207
Issue 19
Start page 3289
End page 3298
Total pages 10
Place of publication Cambridge
Publisher Company of Biologists Ltd
Language eng
Subject 06 Biological Sciences
Abstract Recent work has revealed that monkeys as well as pigeons are able to categorise complex visual objects. We show here that the ability to group similar, natural, visual images together extends to an invertebrate - the honeybee. Bees can be trained to distinguish between different types of naturally occurring scenes in a rather general way, and to group them into four distinct categories: landscapes, plant stems and two different kinds of flowers. They exhibit the same response to novel visual objects that differ greatly in their individual, low-level features, but belong to one of the four categories. We exclude the possibility that they might be using single, low-level features as a cue to categorise these natural visual images and suggest that the categorisation is based on a combination of low-level features and configurational cues.
Keyword Biology
Flower-like Patterns
Maze Navigation
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
Queensland Brain Institute Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 47 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 50 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 25 Jan 2008, 16:22:19 EST