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Fabbri-Destro, M.; Rizzolatti, G. |
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Title |
Mirror Neurons and Mirror Systems in Monkeys and Humans |
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Journal Article |
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2008 |
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Physiology |
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Physiology |
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23 |
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3 |
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171-179 |
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Mirror neurons are a distinct class of neurons that transform specific sensory information into a motor format. Mirror neurons have been originally discovered in the premotor and parietal cortex of the monkey. Subsequent neurophysiological (TMS, EEG, MEG) and brain imaging studies have shown that a mirror mechanism is also present in humans. According to its anatomical locations, mirror mechanism plays a role in action and intention understanding, imitation, speech, and emotion feeling. |
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10.1152/physiol.00004.2008 |
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Equine Behaviour @ team @ |
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5014 |
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Van Doorn G.S.; Hengeveld G.M.; Weissing F.J. |
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Title |
The Evolution of Social Dominance I: Two-player Models |
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Journal Article |
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2003 |
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Behavior |
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Behavior |
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140 |
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10 |
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1305-1332 |
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A difference in dominance rank is an often-used cue to resolve conflicts between two animals without escalated fights. At the group level, adherence to a dominance convention efficiently reduces the costs associated with conflicts, but from an individual's point of view, it is difficult to explain why a low ranking individual should accept its subordinate status. This is especially true if, as suggested by several authors, dominance not necessarily reflects differences in fighting ability but rather results from arbitrary historical asymmetries. According to this idea, rank differentiation emerges from behavioural strategies, referred to as winner and loser effects, in which winners of previous conflicts are more likely to win the current conflict, whereas the losers of previous conflicts are less likely to do so. In order to investigate whether dominance, based on such winner and loser effects, can be evolutionarily stable, we analyse a game theoretical model. The model focuses on an extreme case in which there are no differences in fighting ability between individuals at all. The only asymmetries that may arise between individuals are generated by the outcome of previous conflicts. By means of numerical analysis, we find alternative evolutionarily stable strategies, which all utilize these asymmetries for conventional conflict resolution. One class of these strategies is based on winner and loser effects, thus generating evolutionarily stable dominance relations even in the absence of differences in resource holding potential. |
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Equine Behaviour @ team @ |
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5105 |
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Van Doorn G.S.; Hengeveld G.M.; Weissing F.J. |
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Title |
The Evolution of Social Dominance II: Multi-Player Models |
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Journal Article |
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2003 |
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Behavior |
Abbreviated Journal |
Behavior |
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140 |
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10 |
Pages |
1333-1358 |
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The social hierarchies observed in natural systems often show a high degree of transitivity. Transitive hierarchies do not only require rank differentiation within pairs of individuals but also a higher level ordering of relations within the group. Several authors have suggested that the formation of linear hierarchies at the group level is an emergent property of individual behavioural rules, referred to as winner and loser effects. Winner and loser effects occur if winners of previous conflicts are more likely to escalate the current conflict, whereas the losers of previous conflicts are less likely to do so. According to this idea, an individual's position in a hierarchy may not necessarily reflect its fighting ability, but may rather result from arbitrary historical asymmetries, in particular the history of victories and defeats. However, if this is the case, it is difficult to explain from an evolutionary perspective why a low ranking individual should accept its subordinate status. Here we present a game theoretical model to investigate whether winner and loser effects giving rise to transitive hierarchies can evolve and under which conditions they are evolutionarily stable. The main version of the model focuses on an extreme case in which there are no intrinsic differences in fighting ability between individuals. The only asymmetries that may arise between individuals are generated by the outcome of previous conflicts. We show that, at evolutionary equilibrium, these asymmetries can be utilized for conventional conflict resolution. Several evolutionarily stable strategies are based on winner and loser effects and these strategies give rise to transitive hierarchies. |
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Equine Behaviour @ team @ |
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5106 |
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Dyer, J.R.G.; Johansson, A.; Helbing, D.; Couzin, I.D.; Krause, J. |
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Title |
Leadership, consensus decision making and collective behaviour in humans |
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Journal Article |
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2009 |
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Philosophical Transactions of the Royal Society B: Biological Sciences |
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Phil. Trans. Biol. Sci. |
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364 |
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1518 |
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781-789 |
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* leadership * consensus decision making * collective behaviour * human group |
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This paper reviews the literature on leadership in vertebrate groups, including recent work on human groups, before presenting the results of three new experiments looking at leadership and decision making in small and large human groups. In experiment 1, we find that both group size and the presence of uninformed individuals can affect the speed with which small human groups (eight people) decide between two opposing directional preferences and the likelihood of the group splitting. In experiment 2, we show that the spatial positioning of informed individuals within small human groups (10 people) can affect the speed and accuracy of group motion. We find that having a mixture of leaders positioned in the centre and on the edge of a group increases the speed and accuracy with which the group reaches their target. In experiment 3, we use large human crowds (100 and 200 people) to demonstrate that the trends observed from earlier work using small human groups can be applied to larger crowds. We find that only a small minority of informed individuals is needed to guide a large uninformed group. These studies build upon important theoretical and empirical work on leadership and decision making in animal groups. |
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Equine Behaviour @ team @ |
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5122 |
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Camazine, S.; Deneubourg, J.L.; Franks, N.R.; Sneyd, J.; Theraula, G.; Bonabeau, E. |
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Title |
Self-Organization in Biological Systems |
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2003 |
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Princeton University Press |
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Princeton |
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978-0691116242 |
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Equine Behaviour @ team @ |
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5143 |
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Schaller, G.B: |
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The Serengeti Lion: A Study of Predator-Prey Relations (Wildlife Behavior and Ecology series) |
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1976 |
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University Of Chicago Press |
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Chicago |
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978-0226736402 |
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Equine Behaviour @ team @ |
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5159 |
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Eckardt, G.; Windhofer, A. |
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Untersuchung der Beanspruchung von Pferden während Isolation und beim Verladen |
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2004 |
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Master's thesis |
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Equine Behaviour @ team @ |
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5190 |
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Ecker, C.; Marquand, A.; Mourao-Miranda, J.; Johnston, P.; Daly, E.M.; Brammer, M.J.; Maltezos, S.; Murphy, C.M.; Robertson, D.; Williams, S.C.; Murphy, D.G.M. |
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Describing the Brain in Autism in Five Dimensions--Magnetic Resonance Imaging-Assisted Diagnosis of Autism Spectrum Disorder Using a Multiparameter Classification Approach |
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2010 |
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J. Neurosci. |
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J. Neurosci. |
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30 |
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32 |
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10612-10623 |
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Autism spectrum disorder (ASD) is a neurodevelopmental condition with multiple causes, comorbid conditions, and a wide range in the type and severity of symptoms expressed by different individuals. This makes the neuroanatomy of autism inherently difficult to describe. Here, we demonstrate how a multiparameter classification approach can be used to characterize the complex and subtle structural pattern of gray matter anatomy implicated in adults with ASD, and to reveal spatially distributed patterns of discriminating regions for a variety of parameters describing brain anatomy. A set of five morphological parameters including volumetric and geometric features at each spatial location on the cortical surface was used to discriminate between people with ASD and controls using a support vector machine (SVM) analytic approach, and to find a spatially distributed pattern of regions with maximal classification weights. On the basis of these patterns, SVM was able to identify individuals with ASD at a sensitivity and specificity of up to 90% and 80%, respectively. However, the ability of individual cortical features to discriminate between groups was highly variable, and the discriminating patterns of regions varied across parameters. The classification was specific to ASD rather than neurodevelopmental conditions in general (e.g., attention deficit hyperactivity disorder). Our results confirm the hypothesis that the neuroanatomy of autism is truly multidimensional, and affects multiple and most likely independent cortical features. The spatial patterns detected using SVM may help further exploration of the specific genetic and neuropathological underpinnings of ASD, and provide new insights into the most likely multifactorial etiology of the condition. |
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10.1523/Jneurosci.5413-09.2010 |
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Equine Behaviour @ team @ |
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5191 |
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Zabel, C. J.; Glickman, S. E.; Frank, L. G.; Woodmansee, K. B.; Keppel, G. |
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Coalition formation in a colony of prepubertal spotted hyaenas |
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1992 |
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Coalitions and Alliances in Humans and Other Animals |
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113–135 |
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Oxford University Press |
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Oxford |
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Harcourt, A.H.; de Waal, F.B.M. |
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Equine Behaviour @ team @ |
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5232 |
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Borgatti, S.P., Everett, M.G., Freeman, L.C. |
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Ucinet for Windows: Software for Social Network Analysis |
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2002 |
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Analytic Technologies |
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Harvard, MA |
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Equine Behaviour @ team @ |
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5239 |
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