Higher-order discrimination learning by honeybees in a virtual environment

被引:9
|
作者
Buatois, Alexis [1 ]
Laroche, Lou [1 ]
Lafon, Gregory [1 ]
Avargues-Weber, Aurore [1 ]
Giurfa, Martin [1 ,2 ,3 ]
机构
[1] Univ Toulouse, Res Ctr Anim Cognit, Ctr Integrat Biol, CNRS, Toulouse 09, France
[2] Fujian Agr & Forestry Univ, Coll Anim Sci, Coll Bee Sci, Fuzhou, Peoples R China
[3] IUF, Paris, France
基金
欧洲研究理事会;
关键词
insect learning; negative patterning; non-elemental learning; virtual reality; visual cognition; visual learning; COLOR DISCRIMINATION; PROBOSCIS EXTENSION; MUSHROOM BODIES; STIMULI; PERCEPTION; SIMILARITY; SUMMATION; REALITY; VISION; INPUT;
D O I
10.1111/ejn.14633
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:681 / 694
页数:14
相关论文
共 50 条
  • [1] Cognition with few neurons: higher-order learning in insects
    Giurfa, Martin
    TRENDS IN NEUROSCIENCES, 2013, 36 (05) : 285 - 294
  • [2] Learning and Its Neural Correlates in a Virtual Environment for Honeybees
    Zwaka, Hanna
    Bartels, Ruth
    Lehfeldt, Sophie
    Jusyte, Meida
    Hantke, Soeren
    Menzel, Simon
    Gora, Jacob
    Alberdi, Rafael
    Menzel, Randolf
    FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2019, 12
  • [3] Social learning in insects: a higher-order capacity?
    Giurfa, Martin
    FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2012, 6
  • [4] Empowering virtual reality with feedback and reflection in hands-on learning: Effect of learning engagement and higher-order thinking
    Huang, Yueh-Min
    Wang, Wei-Sheng
    Lee, Hsin-Yu
    Lin, Chia-Ju
    Wu, Ting-Ting
    JOURNAL OF COMPUTER ASSISTED LEARNING, 2024, 40 (04) : 1413 - 1427
  • [5] Fast learning but coarse discrimination of colours in restrained honeybees
    Niggebruegge, C.
    Leboulle, G.
    Menzel, R.
    Komischke, B.
    de Ibarra, N. Hempel
    JOURNAL OF EXPERIMENTAL BIOLOGY, 2009, 212 (09) : 1344 - 1350
  • [6] Perception of Faces and Other Progressively Higher-Order Properties
    Calzavarini, Fabrizio
    Voltolini, Alberto
    TOPOI-AN INTERNATIONAL REVIEW OF PHILOSOPHY, 2022, 41 (04): : 671 - 684
  • [7] Higher-order being and time
    Skiba, Lukas
    NOUS, 2024,
  • [8] Learn Locally, Think Globally: Exemplar Variability Supports Higher-Order Generalization and Word Learning
    Perry, Lynn K.
    Samuelson, Larissa K.
    Malloy, Lisa M.
    Schiffer, Ryan N.
    PSYCHOLOGICAL SCIENCE, 2010, 21 (12) : 1894 - 1902
  • [9] Electrophysiological correlates of associative learning in smokers: a higher-order conditioning experiment
    Littel, Marianne
    Franken, Ingmar H. A.
    BMC NEUROSCIENCE, 2012, 13
  • [10] Hebbian learning from higher-order correlations requires crosstalk minimization
    Cox, K. J. A.
    Adams, P. R.
    BIOLOGICAL CYBERNETICS, 2014, 108 (04) : 405 - 422