0000000000885022

AUTHOR

Adrian G. Dyer

showing 12 related works from this author

Spontaneous quantity discrimination of artificial flowers by foraging honeybees

2020

ABSTRACTMany animals need to process numerical and quantity information in order to survive. Spontaneous quantity discrimination allows differentiation between two or more quantities without reinforcement or prior training on any numerical task. It is useful for assessing food resources, aggressive interactions, predator avoidance and prey choice. Honeybees have previously demonstrated landmark counting, quantity matching, use of numerical rules, quantity discrimination and arithmetic, but have not been tested for spontaneous quantity discrimination. In bees, spontaneous quantity discrimination could be useful when assessing the quantity of flowers available in a patch and thus maximizing f…

0106 biological sciencesPhysiology[SDV]Life Sciences [q-bio]ForagingSubitizingFlowersNumericAquatic Science010603 evolutionary biology01 natural sciencesPredation03 medical and health sciences0302 clinical medicineStatisticsApproximate number systemApproximate number systemAnimalsPredator avoidanceMolecular BiologyRatioEcology Evolution Behavior and SystematicsMathematicsArtificial flowerBees[SDV] Life Sciences [q-bio]Food resourcesInsect ScienceObject file systemAnimal Science and ZoologyApis mellifera030217 neurology & neurosurgery
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General principles in motion vision: Color blindness of object motion depends on pattern velocity in honeybee and goldfish

2011

AbstractVisual systems can undergo striking adaptations to specific visual environments during evolution, but they can also be very “conservative.” This seems to be the case in motion vision, which is surprisingly similar in species as distant as honeybee and goldfish. In both visual systems, motion vision measured with the optomotor response is color blind and mediated by one photoreceptor type only. Here, we ask whether this is also the case if the moving stimulus is restricted to a small part of the visual field, and test what influence velocity may have on chromatic motion perception. Honeybees were trained to discriminate between clockwise- and counterclockwise-rotating sector disks. S…

PhysiologyColor visionMotion PerceptionColorColor Vision DefectsBiologyStimulus (physiology)Discrimination PsychologicalGoldfishAnimalsComputer visionCompound Eye ArthropodMotion perceptionChromatic scaleVision OcularCommunicationbusiness.industryCompound eyeBeesSensory SystemsVisual fieldPattern Recognition VisualColor Vision DefectsOptomotor responsePhotoreceptor Cells InvertebrateArtificial intelligencebusinessColor PerceptionPhotic StimulationPhotoreceptor Cells VertebrateVisual Neuroscience
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Honeybees prefer novel insect-pollinated flower shapes over bird-pollinated flower shapes

2019

AbstractPlant–pollinator interactions have a fundamental influence on flower evolution. Flower color signals are frequently tuned to the visual capabilities of important pollinators such as either bees or birds, but far less is known about whether flower shape influences the choices of pollinators. We tested European honeybee Apis mellifera preferences using novel achromatic (gray-scale) images of 12 insect-pollinated and 12 bird-pollinated native Australian flowers in Germany; thus, avoiding influences of color, odor, or prior experience. Independent bees were tested with a number of parameterized images specifically designed to assess preferences for size, shape, brightness, or the number…

0106 biological sciencesmedia_common.quotation_subjectInsectBiologybird-pollinated010603 evolutionary biology01 natural sciences[SCCO]Cognitive sciencepollinatorApis mellifera (European honeybee)PollinatorGuest Editor: David Baracchi Dipartimento di Biologia Università degli Studi di Firenze Italy0501 psychology and cognitive sciencesFloral symmetry050102 behavioral science & comparative psychologyinsect-pollinatedangiospermComputingMilieux_MISCELLANEOUSmedia_commonSpecial Column: Behavioural and Cognitive Plasticity in Foraging Pollinators[SCCO.NEUR]Cognitive science/Neuroscience[SDV.BA]Life Sciences [q-bio]/Animal biology05 social sciencesArticlesPreferenceflowerEvolutionary biologyColor preferences[SCCO.PSYC]Cognitive science/PsychologyAnimal Science and Zoology
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Different mechanisms underlie implicit visual statistical learning in honey bees and humans

2020

International audience; The ability of developing complex internal representations of the environment is considered a crucial antecedent to the emergence of humans’ higher cognitive functions. Yet it is an open question whether there is any fundamental difference in how humans and other good visual learner species naturally encode aspects of novel visual scenes. Using the same modified visual statistical learning paradigm and multielement stimuli, we investigated how human adults and honey bees ( Apis mellifera ) encode spontaneously, without dedicated training, various statistical properties of novel visual scenes. We found that, similarly to humans, honey bees automatically develop a comp…

Computer scienceSensory systemEnvironmentENCODEunsupervised learning03 medical and health sciences[SCCO]Cognitive science0302 clinical medicineCognitionMemoryAnimalsHumansLearninginternal representation030304 developmental biologyhuman visual cognition0303 health sciencesMultidisciplinaryRepresentation (systemics)Contrast (statistics)Cognition[SCCO] Cognitive scienceBeesBiological Sciencesinsect cognitionAntecedent (behavioral psychology)Unsupervised learningApis melliferaVisual learning030217 neurology & neurosurgeryCognitive psychology
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Bee reverse-learning behavior and intra-colony differences: Simulations based on behavioral experiments reveal benefits of diversity

2014

Abstract Foraging bees use color cues to help identify rewarding from unrewarding flowers. As environmental conditions change, bees may require behavioral flexibility to reverse their learnt preferences. Learning to discriminate perceptually similar colors takes bees a long time, and thus potentially poses a difficult task to reverse-learn. We trained free-flying honeybees to learn a fine color discrimination task that could only be resolved (with about 70% accuracy) following extended differential conditioning. The bees were then tested for their ability to reverse-learn this visual problem. Subsequent analyses potentially identified individual behavioral differences that could be broadly …

PollinatorEcologyEcological ModelingForagingFlexibility (personality)NectarBiologyPreferenceReverse learningTask (project management)Diversity (business)Cognitive psychologyEcological Modelling
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Does Holistic Processing Require a Large Brain? Insights From Honeybees and Wasps in Fine Visual Recognition Tasks

2018

The expertise of humans for recognizing faces is largely based on holistic processing mechanism, a sophisticated cognitive process that develops with visual experience. The various visual features of a face are thus glued together and treated by the brain as a unique stimulus, facilitating robust recognition. Holistic processing is known to facilitate fine discrimination of highly similar visual stimuli, and involves specialized brain areas in humans and other primates. Although holistic processing is most typically employed with face stimuli, subjects can also learn to apply similar image analysis mechanisms when gaining expertise in discriminating novel visual objects, like becoming exper…

lcsh:Psychologyhierarchical stimulihymenopteranslcsh:BF1-990Apis melliferaholistic processingconfigural processingface recognitionFrontiers in Psychology
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Honeybee (Apis mellifera) vision can discriminate between and recognise images of human faces.

2005

SUMMARY Recognising individuals using facial cues is an important ability. There is evidence that the mammalian brain may have specialised neural circuitry for face recognition tasks, although some recent work questions these findings. Thus, to understand if recognising human faces does require species-specific neural processing, it is important to know if non-human animals might be able to solve this difficult spatial task. Honeybees (Apis mellifera) were tested to evaluate whether an animal with no evolutionary history for discriminating between humanoid faces may be able to learn this task. Using differential conditioning, individual bees were trained to visit target face stimuli and to …

Physiologymedia_common.quotation_subjectAquatic ScienceFacial recognition systemTask (project management)Visual processingDiscrimination PsychologicalPerceptionAnimalsHumansMolecular BiologyEcology Evolution Behavior and Systematicsmedia_commonCommunicationbusiness.industryBeesInsect ScienceFace (geometry)FaceNeural processingPattern recognition (psychology)Visual PerceptionConditioning OperantAnimal Science and ZoologyPsychologybusinessHuman psychologyCognitive psychologyThe Journal of experimental biology
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Colour reverse learning and animal personalities: the advantage of behavioural diversity assessed with agent-based simulations

2012

Foraging bees use colour cues to help identify rewarding from unrewarding flowers, but as conditions change, bees may require behavioural flexibility to reverse their learnt preferences. Perceptually similar colours are learnt slowly by honeybees and thus potentially pose a difficult task to reverse-learn. Free-flying honeybees (N = 32) were trained to learn a fine colour discrimination task that could be resolved at ca. 70% accuracy following extended differential conditioning, and were then tested for their ability to reverse-learn this visual problem multiple times. Subsequent analyses identified three different strategies: ‘Deliberative-decisive’ bees that could, after sev…

EcologyComputer sciencebusiness.industryForagingFlexibility (personality)Personality psychologyPreferenceTask (project management)NectarGeneral Materials ScienceArtificial intelligencebusinessDiversity (business)Cognitive psychologyReverse learningNeuroscience
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Conceptualization of relative size by honeybees

2014

The ability to process visual information using relational rules allows for decisions independent of the specific physical attributes of individual stimuli. Until recently, the manipulation of relational concepts was considered as a prerogative of large mammalian brains. Here we show that individual free flying honeybees can learn to use size relationship rules to choose either the larger or smaller stimulus as the correct solution in a given context, and subsequently apply the learnt rule to novel colors and shapes providing that there is sufficient input to the long wavelength (green) photoreceptor channel. Our results add a novel, size-based conceptual rule to the set of relational conce…

Relational concept learningComputer scienceCognitive NeuroscienceHoneybeeStimulus (physiology)lcsh:RC321-57103 medical and health sciences[SCCO]Cognitive scienceBehavioral Neuroscience0302 clinical medicineAnimal modelOriginal Research Articlelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesConceptualizationbusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience[SDV.BA]Life Sciences [q-bio]/Animal biologyRelative sizeLong wavelengthNeuropsychology and Physiological Psychology[SCCO.PSYC]Cognitive science/PsychologyArtificial intelligenceApis melliferabusinessLong wavelength photoreceptor030217 neurology & neurosurgeryNeuroscienceFrontiers in Behavioral Neuroscience
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Insect brains use image interpolation mechanisms to recognise rotated objects.

2008

Recognising complex three-dimensional objects presents significant challenges to visual systems when these objects are rotated in depth. The image processing requirements for reliable individual recognition under these circumstances are computationally intensive since local features and their spatial relationships may significantly change as an object is rotated in the horizontal plane. Visual experience is known to be important in primate brains learning to recognise rotated objects, but currently it is unknown how animals with comparatively simple brains deal with the problem of reliably recognising objects when seen from different viewpoints. We show that the miniature brain of honeybees…

Visual perceptionInsectaComputer Science/Natural and Synthetic VisionMachine visionVisual Physiologylcsh:MedicineImage processingBiologyVisual memoryAnimalsHumansComputer visionlcsh:ScienceMultidisciplinaryNeuroscience/Behavioral Neurosciencebusiness.industrylcsh:RCognitive neuroscience of visual object recognitionNeuroscience/Animal CognitionBrainBeesObject (philosophy)Pattern Recognition VisualPattern recognition (psychology)Visual Perceptionlcsh:QArtificial intelligencebusinessResearch ArticlePLoS ONE
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Honeybees can recognise images of complex natural scenes for use as potential landmarks

2008

SUMMARY The ability to navigate long distances to find rewarding flowers and return home is a key factor in the survival of honeybees (Apis mellifera). To reliably perform this task, bees combine both odometric and landmark cues,which potentially creates a dilemma since environments rich in odometric cues might be poor in salient landmark cues, and vice versa. In the present study, honeybees were provided with differential conditioning to images of complex natural scenes, in order to determine if they could reliably learn to discriminate between very similar scenes, and to recognise a learnt scene from a novel distractor scene. Choices made by individual bees were modelled with signal detec…

Transfer testSpatial visionPhysiologyComputer scienceDecision MakingVideo RecordingAquatic ScienceDiscrimination LearningVisual processingAnimalsNatural (music)Computer visionMolecular BiologyEcology Evolution Behavior and SystematicsCommunicationLandmarkbusiness.industryBeesPattern Recognition VisualSalientInsect ScienceConditioning OperantAnimal Science and ZoologyDifferential conditioningArtificial intelligenceCuesbusinessPhotic StimulationJournal of Experimental Biology
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Does Holistic Processing Require a Large Brain? Insights From Honeybees and Wasps in Fine Visual Recognition Tasks

2018

International audience

[SCCO]Cognitive science[SCCO.NEUR]Cognitive science/Neuroscience[SDV.BA]Life Sciences [q-bio]/Animal biology[SCCO.PSYC]Cognitive science/PsychologyComputingMilieux_MISCELLANEOUSApis mellifera; configural processing; face recognition; hierarchical stimuli; holistic processing; hymenopterans; Vespula vulgaris; visual cognition
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