Local-feature assembling in visual pattern recognition and generalization in honeybees

Silke Stach, Julie Benard and Martin Giurfa ()
Additional contact information
Silke Stach: CNRS—Université Paul-Sabatier
Julie Benard: CNRS—Université Paul-Sabatier
Martin Giurfa: CNRS—Université Paul-Sabatier

Nature, 2004, vol. 429, issue 6993, 758-761

Abstract: Abstract Generalization is a cognitive ability that allows similar stimuli along a given dimension to be treated as equivalents1,2,3. Insects exhibit high levels of visual generalization4,5,6. Honeybees trained to recognize complex visual stimuli on the basis of a single feature generalize their choice to novel stimuli sharing that common feature with the trained stimuli7. The demonstration of this kind of performance has been limited to the use of a single visual feature, and the possibility that bees link different features in learning a visual pattern has been denied8,9. Here we show that honeybees trained with a series of complex patterns sharing a common layout comprising four edge orientations remember these orientations simultaneously in their appropriate positions, and generalize their response to novel stimuli that preserve the trained layout. Honeybees also generalize their response to patterns with fewer correct orientations, depending on their match with the trained layout. Stimulation of the achromatic L-photoreceptor input is necessary for this task. The mini-brain of the honeybee can thus extract regularities in its environment and establish correspondences among correlated features. It can thus generate a large set of object descriptions from a finite set of elements.

Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/nature02594 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:429:y:2004:i:6993:d:10.1038_nature02594

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature02594

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().