neural correlates of a communicative gesture in chimpanzees The sound of one-hand clapping: handedness and perisylvian
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Supplementary data tml http://rspb.royalsocietypublishing.org/content/suppl/2012/01/03/rspb.2011.2485.DC1.h "Data Supplement" References http://rspb.royalsocietypublishing.org/content/279/1735/1959.full.html#ref-list-1 This article cites 69 articles, 9 of which can be accessed free Subject collections (151 articles) neuroscience (1189 articles) evolution (788 articles) behaviour Articles on similar topics can be found in the following collections
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The sound of one-hand clapping: handedness and perisylvian neural correlates of a communicative gesture in chimpanzees.
Whether lateralization of communicative signalling in non-human primates might constitute prerequisites of hemispheric specialization for language is unclear. In the present study, we examined (i) hand preference for a communicative gesture (clapping in 94 captive chimpanzees from two research facilities) and (ii) the in vivo magnetic resonance imaging brain scans of 40 of these individuals. Th...
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Gestural communication is a modality considered in the literature as a candidate for determining the ancestral prerequisites of the emergence of human language. As reported in captive chimpanzees and human children, a study in captive baboons revealed that a communicative gesture elicits stronger degree of right-hand bias than non-communicative actions. It remains unclear if it is the communica...
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Neuroanatomical asymmetries have been identified in chimpanzee frontal and temporal lobes including regions believed to be homologous to human Broca's and Wernicke's areas. This study examined whether or not neuroanatomical asymmetries in chimpanzees are associated with hand use during gestural communication. Analyses revealed that those chimpanzees that reliably employ their right hand for man...
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This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
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Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...
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