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Cozzi, B.; Povinelli, M.; Ballarin, C.; Granato, A. |
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Title |
The Brain of the Horse: Weight and Cephalization Quotients |
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Journal Article |
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2014 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain Behav Evol |
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83 |
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1 |
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9-16 |
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The horse is a common domestic animal whose anatomy has been studied since the XVI century. However, a modern neuroanatomy of this species does not exist and most of the data utilized in textbooks and reviews derive from single specimens or relatively old literature. Here, we report information on the brain of Equus caballus obtained by sampling 131 horses, including brain weight (as a whole and subdivided into its constituents), encephalization quotient (EQ), and cerebellar quotient (CQ), and comparisons with what is known about other relevant species. The mean weight of the fresh brains in our experimental series was 598.63 g (SEM ± 7.65), with a mean body weight of 514.12 kg (SEM ± 15.42). The EQ was 0.78 and the CQ was 0.841. The data we obtained indicate that the horse possesses a large, convoluted brain, with a weight similar to that of other hoofed species of like mass. However, the shape of the brain, the noteworthy folding of the neocortex, and the peculiar longitudinal distribution of the gyri suggest an evolutionary specificity at least partially separate from that of the Cetartiodactyla (even-toed mammals and cetaceans) with whom Perissodactyla (odd-toed mammals) are often grouped. |
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0006-8977 |
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Equine Behaviour @ team @ |
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6592 |
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Dong, D.; Jones, G.; Zhang, S. |
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Title |
Dynamic evolution of bitter taste receptor genes in vertebrates |
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2009 |
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BMC Evolutionary Biology |
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9 |
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1 |
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12 |
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Sensing bitter tastes is crucial for many animals because it can prevent them from ingesting harmful foods. This process is mainly mediated by the bitter taste receptors (T2R), which are largely expressed in the taste buds. Previous studies have identified some T2R gene repertoires, and marked variation in repertoire size has been noted among species. However, the mechanisms underlying the evolution of vertebrate T2R genes remain poorly understood. |
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1471-2148 |
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Equine Behaviour @ team @ Dong2009 |
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6637 |
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Author |
Marino, L. |
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Title |
Convergence of complex cognitive abilities in cetaceans and primates |
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Journal Article |
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2002 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain Behav Evol |
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59 |
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1-2 |
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21-32 |
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Animal Communication; Animals; Brain/physiology; Cerebral Cortex/physiology; Cetacea/*physiology; Cognition/*physiology; *Evolution; Humans; Intelligence; Primates/*physiology |
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What examples of convergence in higher-level complex cognitive characteristics exist in the animal kingdom? In this paper I will provide evidence that convergent intelligence has occurred in two distantly related mammalian taxa. One of these is the order Cetacea (dolphins, whales and porpoises) and the other is our own order Primates, and in particular the suborder anthropoid primates (monkeys, apes, and humans). Despite a deep evolutionary divergence, adaptation to physically dissimilar environments, and very different neuroanatomical organization, some primates and cetaceans show striking convergence in social behavior, artificial 'language' comprehension, and self-recognition ability. Taken together, these findings have important implications for understanding the generality and specificity of those processes that underlie cognition in different species and the nature of the evolution of intelligence. |
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Neuroscience and Behavioral Biology Program, Emory University, Atlanta, Ga. 30322, USA. lmarino@emory.edu |
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0006-8977 |
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PMID:12097858 |
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Equine Behaviour @ team @ |
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4158 |
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Author |
Healy,S.; Braithwaite, V |
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Title |
Cognitive ecology: a field of substance? |
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Year |
2000 |
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Trends in Ecology & Evolution |
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Trends. Ecol. Evol |
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15 |
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1 |
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22-26 |
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Cognitive ecology; Neuroethology; Cognition; Ecology; Evolution; Orientation mechanisms |
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In 1993, Les Real invented the label 'cognitive ecology'. This label was intended for work that brought cognitive science and behavioural ecology together. Real's article stressed the importance of such an approach to the understanding of behaviour. At the end of a decade in which more interdisciplinary work on behaviour has been seen than for many years, it is time to assess whether cognitive ecology is a label describing an active field. |
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Division of Biological Sciences, King's Buildings, University of Edinburgh, West Mains Road, Edinburgh, UK EH9 3JT |
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0169-5347 |
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PMID:10603501 |
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refbase @ user @ |
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837 |
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Karenina, K.; Giljov, A.; Ingram, J.; Rowntree, V.J.; Malashichev, Y. |
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Lateralization of mother�infant interactions in a diverse range of mammal species |
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Journal Article |
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2017 |
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Nature Ecology & Evolution |
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Nat Ecol Evol |
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1 |
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0030 Ep - |
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Left-cradling bias is a distinctive feature of maternal behaviour in humans and great apes, but its evolutionary origin remains unknown. In 11 species of marine and terrestrial mammal, we demonstrate consistent patterns of lateralization in mother�infant interactions, indicating right hemisphere dominance for social processing. In providing clear evidence that lateralized positioning is beneficial in mother�infant interactions, our results illustrate a significant impact of lateralization on individual fitness. |
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Equine Behaviour @ team @ |
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6040 |
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Parrish, J. K.; Viscido, S. V. |
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Traffic rules of fish schools: A review of agent-based approaches. |
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2005 |
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Self-organisation and the evolution of social behaviour. |
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50-80 |
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Cambridge University Press |
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Cambridge |
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C. K. Hemelrijk |
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Equine Behaviour @ team @ |
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5419 |
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Houston, A.I.; McNamara, J.M. |
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Fighting for food: a dynamic version of the Hawk-Dove game |
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1988 |
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Evolutionary Ecology |
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Evol. Ecol. |
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2 |
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51-64 |
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refbase @ user @ |
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750 |
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Rands, S.A.; Cowlishaw, G.; Pettifor, R.A.; Rowcliffe, J.M.; Johnstone, R.A. |
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The emergence of leaders and followers in foraging pairs when the qualities of individuals differ |
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2008 |
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BMC Evolutionary Biology |
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BMC Evol Biol |
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8 |
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51 |
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Animals; *Feeding Behavior; *Food Chain; *Models, Biological; *Social Dominance |
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BACKGROUND: Foraging in groups offers animals a number of advantages, such as increasing their likelihood of finding food or detecting and avoiding predators. In order for a group to remain together, there has to be some degree of coordination of behaviour and movement between its members (which may in some cases be initiated by a decision-making leader, and in other cases may emerge as an underlying property of the group). For example, behavioural synchronisation is a phenomenon where animals within a group initiate and then continue to conduct identical behaviours, and has been characterised for a wide range of species. We examine how a pair of animals should behave using a state-dependent approach, and ask what conditions are likely to lead to behavioural synchronisation occurring, and whether one of the individuals is more likely to act as a leader. RESULTS: The model we describe considers how the energetic gain, metabolic requirements and predation risks faced by the individuals affect measures of their energetic state and behaviour (such as the degree of behavioural synchronisation seen within the pair, and the value to an individual of knowing the energetic state of its colleague). We explore how predictable changes in these measures are in response to changes in physiological requirements and predation risk. We also consider how these measures should change when the members of the pair are not identical in their metabolic requirements or their susceptibility to predation. We find that many of the changes seen in these measures are complex, especially when asymmetries exist between the members of the pair. CONCLUSION: Analyses are presented that demonstrate that, although these general patterns are robust, care needs to be taken when considering the effects of individual differences, as the relationship between individual differences and the resulting qualitative changes in behaviour may be complex. We discuss how these results are related to experimental observations, and how the model and its predictions could be extended. |
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Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK. sean.rands@bristol.ac.uk |
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1471-2148 |
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PMID:18282297 |
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Equine Behaviour @ team @ |
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5126 |
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Hampton, R.R.; Sherry, D.F.; Shettleworth, S.J.; Khurgel, M.; Ivy, G. |
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Hippocampal volume and food-storing behavior are related in parids |
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1995 |
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Brain, behavior and evolution |
Abbreviated Journal |
Brain Behav Evol |
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45 |
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1 |
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54-61 |
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Animals; Appetitive Behavior/*physiology; Birds/*anatomy & histology; Brain Mapping; Evolution; Food Preferences/physiology; Hippocampus/*anatomy & histology; Mental Recall/*physiology; Orientation/*physiology; Predatory Behavior/physiology; Social Environment; Species Specificity |
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The size of the hippocampus has been previously shown to reflect species differences and sex differences in reliance on spatial memory to locate ecologically important resources, such as food and mates. Black-capped chickadees (Parus atricapillus) cached more food than did either Mexican chickadees (P. sclateri) or bridled titmice (P. wollweberi) in two tests of food storing, one conducted in an aviary and another in smaller home cages. Black-capped chickadees were also found to have a larger hippocampus, relative to the size of the telencephalon, than the other two species. Differences in the frequency of food storing behavior among the three species have probably produced differences in the use of hippocampus-dependent memory and spatial information processing to recover stored food, resulting in graded selection for size of the hippocampus. |
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Department of Psychology, University of Toronto, Ontario, Canada |
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0006-8977 |
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PMID:7866771 |
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refbase @ user @ |
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379 |
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Pepperberg, I.M. |
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In search of king Solomon's ring: cognitive and communicative studies of Grey parrots (Psittacus erithacus) |
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2002 |
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Brain, behavior and evolution |
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Brain Behav Evol |
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59 |
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1-2 |
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54-67 |
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*Animal Communication; Animals; Attention/physiology; Cognition/*physiology; Cues; Form Perception/physiology; Humans; Intelligence; Learning/physiology; Male; Models, Psychological; Parrots/*physiology; Psychomotor Performance/physiology; Reward; Social Behavior |
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During the past 24 years, I have used a modeling technique (M/R procedure) to train Grey parrots to use an allospecific code (English speech) referentially; I then use the code to test their cognitive abilities. The oldest bird, Alex, labels more than 50 different objects, 7 colors, 5 shapes, quantities to 6, 3 categories (color, shape, material) and uses 'no', 'come here', wanna go X' and 'want Y' (X and Y are appropriate location or item labels). He combines labels to identify, request, comment upon or refuse more than 100 items and to alter his environment. He processes queries to judge category, relative size, quantity, presence or absence of similarity/difference in attributes, and show label comprehension. He semantically separates labeling from requesting. He thus exhibits capacities once presumed limited to humans or nonhuman primates. Studies on this and other Greys show that parrots given training that lacks some aspect of input present in M/R protocols (reference, functionality, social interaction) fail to acquire referential English speech. Examining how input affects the extent to which parrots acquire an allospecific code may elucidate mechanisms of other forms of exceptional learning: learning unlikely in the normal course of development but that can occur under certain conditions. |
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The MIT Media Lab, Cambridge, Mass. 02139, USA. impepper@media.mit.edu |
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0006-8977 |
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PMID:12097860 |
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