0000000000404345

AUTHOR

Márton Nagy

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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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