2022
DOI: 10.1007/s10071-022-01691-9
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Color is necessary for face discrimination in the Northern paper wasp, Polistes fuscatus

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Cited by 8 publications
(3 citation statements)
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“…1B). Based on behavioral data, hypothetical wasp specialized neurons should be sensitive to the shape and color of paper wasps ( 10, 26, 29 ). An alternative hypothesis is that cognitive specialization for facial recognition arises not because of specialized circuits but because social stimuli lead to increased excitement of generic circuits ( 30, 31 ).…”
Section: Main Textmentioning
confidence: 99%
See 1 more Smart Citation
“…1B). Based on behavioral data, hypothetical wasp specialized neurons should be sensitive to the shape and color of paper wasps ( 10, 26, 29 ). An alternative hypothesis is that cognitive specialization for facial recognition arises not because of specialized circuits but because social stimuli lead to increased excitement of generic circuits ( 30, 31 ).…”
Section: Main Textmentioning
confidence: 99%
“…Front-facing wasp stimuli matched stimuli that had been used to behaviorally assess discrimination in P. fuscatus previously ( 10, 29 ) and were therefore our target stimuli, and silhouettes of those front-facing wasp stimuli acted as shape controls that lacked wasp color patterning. Scramble stimuli had been designed to disentangle front-facing wasp shape and color patterning responses.…”
Section: Main Textmentioning
confidence: 99%
“… 57 , 66 Nevertheless, as honeybees and many wasps are visual foragers and relatively closely related Hymenoptera, recent research shows comparative studies on these insect species can provide important information on visual processing mechanisms. 67 , 68 , 69 , 70 , 71 , 72 , 73 For example, paper wasps ( Polistes fuscatus ) are able to learn the abstract concept of same vs. different. 66 Paper wasps are also capable of learning and recalling unique facial markings of individual conspecifics and transitive inference, which is the ability to infer unknown relationships using information from known relationships (e.g., if A > B and B > C, then A > C).…”
Section: Introductionmentioning
confidence: 99%