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Simultaneous mastering of two abstract concepts by the miniature brain of bees

  1. Martin Giurfaa,b,2
  1. aUniversité de Toulouse, Centre de Recherches sur la Cognition Animale, F-31062 Toulouse Cedex 9, France;
  2. bCentre National de la Recherche Scientifique (CNRS), Centre de Recherches sur la Cognition Animale, F-31062 Toulouse Cedex 9, France;
  3. cDepartment of Physiology, Monash University, Clayton VIC 3800, Australia; and
  4. dSchool of Media and Communication, RMIT University, Melbourne VIC 3001, Australia
  1. Edited* by John G. Hildebrand, University of Arizona, Tucson, AZ, and approved March 16, 2012 (received for review February 13, 2012)

Abstract

Sorting objects and events into categories and concepts is a fundamental cognitive capacity that reduces the cost of learning every particular situation encountered in our daily lives. Relational concepts such as “same,” “different,” “better than,” or “larger than”—among others—are essential in human cognition because they allow highly efficient classifying of events irrespective of physical similarity. Mastering a relational concept involves encoding a relationship by the brain independently of the physical objects linked by the relation and is, therefore, consistent with abstraction capacities. Processing several concepts at a time presupposes an even higher level of cognitive sophistication that is not expected in an invertebrate. We found that the miniature brains of honey bees rapidly learn to master two abstract concepts simultaneously, one based on spatial relationships (above/below and right/left) and another based on the perception of difference. Bees that learned to classify visual targets by using this dual concept transferred their choices to unknown stimuli that offered a best match in terms of dual-concept availability: their components presented the appropriate spatial relationship and differed from one another. This study reveals a surprising facility of brains to extract abstract concepts from a set of complex pictures and to combine them in a rule for subsequent choices. This finding thus provides excellent opportunities for understanding how cognitive processing is achieved by relatively simple neural architectures.

Footnotes

  • 1Present address: Biological and Experimental Psychology Group, School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.

  • 2To whom correspondence should be addressed. E-mail: giurfa{at}cict.fr.
  • Author contributions: A.A.-W., A.G.D., and M.G. designed research; A.A.-W. performed research; A.A.-W. and M.C. analyzed data; and A.A.-W., A.G.D., and M.G. wrote the paper.

  • The authors declare no conflict of interest.

  • *This Direct Submission article had a prearranged editor.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1202576109/-/DCSupplemental.

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