0000000000249608

AUTHOR

Daniele D’amaro

showing 4 related works from this author

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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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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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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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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