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      Emotion Recognition in Cats

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          Abstract

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          The ability to perceive other individuals’ emotions plays a central role for animals living in social groups. Cats entertain social relationships with individuals of the same species (conspecifics) as well as with humans (heterospecifics). Although previous studies have demonstrated that cats are sensitive to conspecific and human communicative signals, their perception of these species’ emotions hasn’t been extensively investigated. In the light of this, the aim of the present work was to investigate cats’ ability to recognize conspecific and human emotions. Our results demonstrate that cats integrate visual and auditory signals to recognize human and conspecific emotions and they appear to modulate their behavior according to the valence of the emotion perceived. The understanding of cats’ socio-cognitive abilities to perceive their close partners’ emotions is crucial for improving the quality of human-cat and cat-cat relationships as well as cat welfare in the domestic environment.

          Abstract

          Recent studies demonstrated that cats form social bonds with both conspecifics and humans. One of the key factors regulating social interactions is the transfer of emotions between the individuals. The present study aimed at investigating cats’ spontaneous ability to match acoustic and visual signals for the recognition of both conspecific and human emotions. Different conspecific (cat “purr” and “hiss”) and heterospecific (human “happiness” and “anger”) emotional stimuli were presented to the tested population using a cross-modal paradigm. Results showed that cats are able to cross-modally match pictures of emotional faces with their related vocalizations, particularly for emotions of high intensity. Overall, our findings demonstrate that cats have a general mental representation of the emotions of their social partners, both conspecifics and humans.

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          Most cited references62

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          Crossmodal processing in the human brain: insights from functional neuroimaging studies.

          Modern brain imaging techniques have now made it possible to study the neural sites and mechanisms underlying crossmodal processing in the human brain. This paper reviews positron emission tomography, functional magnetic resonance imaging (fMRI), event-related potential and magnetoencephalographic studies of crossmodal matching, the crossmodal integration of content and spatial information, and crossmodal learning. These investigations are beginning to produce some consistent findings regarding the neuronal networks involved in these distinct crossmodal operations. Increasingly, specific roles are being defined for the superior temporal sulcus, the inferior parietal sulcus, regions of frontal cortex, the insula cortex and claustrum. The precise network of brain areas implicated in any one study, however, seems to be heavily dependent on the experimental paradigms used, the nature of the information being combined and the particular combination of modalities under investigation. The different analytic strategies adopted by different groups may also be a significant factor contributing to the variability in findings. In this paper, we demonstrate the impact of computing intersections, conjunctions and interaction effects on the identification of audiovisual integration sites using existing fMRI data from our own laboratory. This exercise highlights the potential value of using statistical interaction effects to model electrophysiological responses to crossmodal stimuli in order to identify possible sites of multisensory integration in the human brain.
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            Dogs recognize dog and human emotions.

            The perception of emotional expressions allows animals to evaluate the social intentions and motivations of each other. This usually takes place within species; however, in the case of domestic dogs, it might be advantageous to recognize the emotions of humans as well as other dogs. In this sense, the combination of visual and auditory cues to categorize others' emotions facilitates the information processing and indicates high-level cognitive representations. Using a cross-modal preferential looking paradigm, we presented dogs with either human or dog faces with different emotional valences (happy/playful versus angry/aggressive) paired with a single vocalization from the same individual with either a positive or negative valence or Brownian noise. Dogs looked significantly longer at the face whose expression was congruent to the valence of vocalization, for both conspecifics and heterospecifics, an ability previously known only in humans. These results demonstrate that dogs can extract and integrate bimodal sensory emotional information, and discriminate between positive and negative emotions from both humans and dogs.
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              Integrating face and voice in person perception.

              Integration of information from face and voice plays a central role in our social interactions. It has been mostly studied in the context of audiovisual speech perception: integration of affective or identity information has received comparatively little scientific attention. Here, we review behavioural and neuroimaging studies of face-voice integration in the context of person perception. Clear evidence for interference between facial and vocal information has been observed during affect recognition or identity processing. Integration effects on cerebral activity are apparent both at the level of heteromodal cortical regions of convergence, particularly bilateral posterior superior temporal sulcus (pSTS), and at 'unimodal' levels of sensory processing. Whether the latter reflects feedback mechanisms or direct crosstalk between auditory and visual cortices is as yet unclear.
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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                28 June 2020
                July 2020
                : 10
                : 7
                : 1107
                Affiliations
                Department of Veterinary Medicine, Animal Physiology and Behavior Unit, University of Bari “Aldo Moro”, 70121 Bari, Italy; serenella.dingeo@ 123456uniba.it (S.d.); rosy.amoruso@ 123456gmail.com (R.A.); marcello.siniscalchi@ 123456uniba.it (M.S.)
                Author notes
                [* ]Correspondence: angelo.quaranta@ 123456uniba.it ; Tel.: +39-080-544-3927
                Author information
                https://orcid.org/0000-0002-1592-6549
                Article
                animals-10-01107
                10.3390/ani10071107
                7401521
                32605256
                769d5d9d-f51c-49e4-b09f-c3877cbf9bbb
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 31 May 2020
                : 24 June 2020
                Categories
                Article

                cat,emotion,behavior,physiology,animal welfare
                cat, emotion, behavior, physiology, animal welfare

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