Honeybee vision: analysis of orientation and colour in the lateral, dorsal and ventral fields of view

Giger, A. D. and Srinivasan, M. V. (1997) Honeybee vision: analysis of orientation and colour in the lateral, dorsal and ventral fields of view. Journal of Experimental Biology, 200 8: 1271-1280.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ696325_OApdf.pdf application/pdf 636.87KB 0
Author Giger, A. D.
Srinivasan, M. V.
Title Honeybee vision: analysis of orientation and colour in the lateral, dorsal and ventral fields of view
Journal name Journal of Experimental Biology   Check publisher's open access policy
ISSN 0022-0949
1477-9145
Publication date 1997-04-01
Year available 1997
Sub-type Article (original research)
Open Access Status File (Publisher version)
Volume 200
Issue 8
Start page 1271
End page 1280
Total pages 10
Place of publication Cambridge, United Kingdom
Publisher The Company of Biologists
Language eng
Abstract The ability of honeybees (Apis mellifera) to learn and recognise peripherally presented patterns was investigated by training bees in a Y-maze which presented patterns on the side walls, the ceiling or the floor. We found that pattern orientation is learnt and recognised in the lateral and frontal visual field, but not in the dorsal or ventral fields. Colour information, in contrast, is used in the lateral and frontal as well as the ventral visual field, but not in the dorsal field. If pattern orientation is different on opposite sides of the visual field during training, both patterns are learned, but each on its own is sufficient for the bees to recognise the learnt stimulus. However, unilaterally learnt pattern information, be it orientation or colour, cannot be accessed when the test pattern is viewed on the other side. That is, interocular transfer of such information does not occur.
Keyword Honeybee
Apis mellifera
Vvision
Learning
Pattern recognition
Colour vision
Orientation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
School of Information Technology and Electrical Engineering Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 20 times in Thomson Reuters Web of Science Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 13 Nov 2017, 16:38:56 EST