Literature DB >> 31785107

Higher-order discrimination learning by honeybees in a virtual environment.

Alexis Buatois1, Lou Laroche1, Gregory Lafon1, Aurore Avarguès-Weber1, Martin Giurfa1,2,3.   

Abstract

Non-elemental learning constitutes a cognitive challenge because events to be learned are usually ambiguous in terms of reinforcement outcome, contrary to elemental learning, which relies on unambiguous associations. Negative patterning (NP) constitutes a paradigmatic case of non-elemental learning, as subjects have to learn that single elements are reinforced while their simultaneous presentation is not reinforced (A+, B+ vs. AB-). Solving NP requires treating AB as being different from the linear sum of its components in order to overcome the ambiguity of stimulus reinforcement (i.e. A and B are as often reinforced as not reinforced). The honeybee is currently the only insect mastering NP as shown by studies restricted mainly to the olfactory domain. Here, we tested the bees' capacity to solve a NP discrimination in the visual domain and used to this end a virtual reality (VR) environment in which a tethered bee walking stationary on a spherical treadmill faces visual stimuli projected on a semicircular screen. We show that bees learn a composite grating made of alternated green and blue bars in an elemental way, and generalize their response to both a blue and a green grating. Yet, after NP training, one-quarter of the bees inhibited elemental processing and responded significantly more to the single-coloured gratings than to the composite grating. Alternative strategies were used by the other bees, which achieved partial NP learning. These results offer attractive perspectives to study different forms of visual learning in a controlled VR environment, and dissect their underlying mechanisms.
© 2019 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  insect learning; negative patterning; non-elemental learning; virtual reality; visual cognition; visual learning

Mesh:

Year:  2020        PMID: 31785107     DOI: 10.1111/ejn.14633

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  4 in total

1.  Different mechanisms underlie implicit visual statistical learning in honey bees and humans.

Authors:  Aurore Avarguès-Weber; Valerie Finke; Márton Nagy; Tūnde Szabó; Daniele d'Amaro; Adrian G Dyer; József Fiser
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-28       Impact factor: 11.205

2.  Motion cues from the background influence associative color learning of honey bees in a virtual-reality scenario.

Authors:  Gregory Lafon; Scarlett R Howard; Benjamin H Paffhausen; Aurore Avarguès-Weber; Martin Giurfa
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

3.  Visual learning in a virtual reality environment upregulates immediate early gene expression in the mushroom bodies of honey bees.

Authors:  Haiyang Geng; Gregory Lafon; Aurore Avarguès-Weber; Alexis Buatois; Isabelle Massou; Martin Giurfa
Journal:  Commun Biol       Date:  2022-02-14

4.  The Neural Signature of Visual Learning Under Restrictive Virtual-Reality Conditions.

Authors:  Gregory Lafon; Haiyang Geng; Aurore Avarguès-Weber; Alexis Buatois; Isabelle Massou; Martin Giurfa
Journal:  Front Behav Neurosci       Date:  2022-02-16       Impact factor: 3.558

  4 in total

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