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Guidance of navigating honeybees by learned elongated ground structures
- Source :
- CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET, Frontiers in Behavioral Neuroscience, Vol 12 (2019), Frontiers in Behavioral Neuroscience
- Publication Year :
- 2019
- Publisher :
- Frontiers Media S.A., 2019.
-
Abstract
- Elongated landscape features like forest edges, rivers, roads or boundaries of fields are particularly salient landmarks for navigating animals. Here, we ask how honeybees learn such structures and how they are used during their homing flights after being released at an unexpected location (catch-and-release paradigm). The experiments were performed in two landscapes that differed with respect to their overall structure: a rather feature-less landscape, and one rich in close and far distant landmarks. We tested three different forms of learning: learning during orientation flights, learning during training to a feeding site, and learning during homing flights after release at an unexpected site within the explored area. We found that bees use elongated ground structures, e.g., a field boundary separating two pastures close to the hive (Experiment 1), an irrigation channel (Experiment 2), a hedgerow along which the bees were trained (Experiment 3), a gravel road close to the hive and the feeder (Experiment 4), a path along an irrigation channel with its vegetation close to the feeder (Experiment 5) and a gravel road along which bees performed their homing flights (Experiment 6). Discrimination and generalization between the learned linear landmarks and similar ones in the test area depend on their object properties (irrigation channel, gravel road, hedgerow) and their compass orientation. We conclude that elongated ground structures are embedded into multiple landscape features indicating that memory of these linear structures is one component of bee navigation. Elongated structures interact and compete with other references. Object identification is an important part of this process. The objects are characterized not only by their appearance but also by their alignment in the compass. Their salience is highest if both components are close to what had been learned. High similarity in appearance can compensate for (partial) compass misalignment, and vice versa. Fil: Menzel, Randolf. Freie Universität Berlin; Alemania Fil: Tison, Lea. Freie Universität Berlin; Alemania Fil: Fischer-Nakai, Johannes. Goethe Universitat Frankfurt; Alemania Fil: Cheeseman, James. University of Auckland; Nueva Zelanda Fil: Balbuena, María Sol. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina Fil: Chen, Xiuxian. Freie Universität Berlin; Alemania Fil: Landgraf, Tim. Freie Universität Berlin; Alemania Fil: Petrasch, Julian. Freie Universität Berlin; Alemania Fil: Polster, Johannes. Freie Universität Berlin; Alemania Fil: Frau Verbauwede, Anabel Maria. Freie Universität Berlin; Alemania
- Subjects :
- Cognitive Neuroscience
Compass Orientation
object recognition
lcsh:RC321-571
Ciencias Biológicas
purl.org/becyt/ford/1 [https]
03 medical and health sciences
Behavioral Neuroscience
0302 clinical medicine
Gravel road
Compass
OBJECT RECOGNITION
Computer vision
navigation
purl.org/becyt/ford/1.6 [https]
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
030304 developmental biology
Original Research
0303 health sciences
sun compass
guiding landmarks
business.industry
SUN COMPASS
Homing (biology)
Cognitive neuroscience of visual object recognition
Irrigation channel
Solar compass
Neuropsychology and Physiological Psychology
COMPASS ALIGNMENT
GROUND STRUCTURES
Salient
NAVIGATION
Otros Tópicos Biológicos
Artificial intelligence
business
ground structures
compass alignment
GUIDING LANDMARKS
030217 neurology & neurosurgery
Geology
CIENCIAS NATURALES Y EXACTAS
Neuroscience
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET, Frontiers in Behavioral Neuroscience, Vol 12 (2019), Frontiers in Behavioral Neuroscience
- Accession number :
- edsair.doi.dedup.....1eb9ad14733ea717d159c473d3d39f88