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Author |
Macphail, E.M. |
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Title |
Cognitive function in mammals: the evolutionary perspective |
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Journal Article |
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1996 |
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Brain research. Cognitive brain research |
Abbreviated Journal  |
Brain Res Cogn Brain Res |
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3 |
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3-4 |
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279-290 |
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Animals; Cognition/*physiology; Conditioning (Psychology)/*physiology; Evolution; Humans; Learning/*physiology; Task Performance and Analysis |
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The work of behavioural pharmacologists has concentrated on small animals, such as rodents and pigeons. The validity of extrapolation of their findings to humans depends upon the existence of parallels in both physiology and psychology between these animals and humans. This paper considers the question whether there are in fact substantial cognitive parallels between, first, different non-human groups of vertebrates and, second, non-humans and humans. Behavioural data from 'simple' tasks, such as habituation and conditioning, do not point to species differences among vertebrates. Using examples that concentrate on the performance of rodents and birds, it is argued that, similarly, data from more complex tasks (learning-set formation, transitive inference, and spatial memory serve as examples) reveal few if any cognitive differences amongst non-human vertebrates. This conclusion supports the notion that association formation may be the critical problem-solving process available to non-human animals; associative mechanisms are assumed to have evolved to detect causal links between events, and would therefore be relevant in all ecological niches. In agreement with this view, recent advances in comparative neurology show striking parallels in functional organisation of mammalian and avian telencephalon. Finally, it is argued that although the peculiarly human capacity for language marks a large cognitive contrast between humans and non-humans, there is good evidence-in particular, from work on implicit learning--that the learning mechanisms available to non--humans are present and do play an important role in human cognition. |
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Department of Psychology, University of York at Heslington, UK |
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0926-6410 |
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PMID:8806029 |
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refbase @ user @ |
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603 |
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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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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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Author |
Heyes, C.M. |
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Title |
Social learning in animals: categories and mechanisms |
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Year |
1994 |
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Biological reviews of the Cambridge Philosophical Society |
Abbreviated Journal |
Biol. Rev. |
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69 |
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2 |
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207-231 |
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Animals; *Behavior, Animal; Conditioning (Psychology); *Learning; Reinforcement (Psychology); *Social Behavior |
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There has been relatively little research on the psychological mechanisms of social learning. This may be due, in part, to the practice of distinguishing categories of social learning in relation to ill-defined mechanisms (Davis, 1973; Galef, 1988). This practice both makes it difficult to identify empirically examples of different types of social learning, and gives the false impression that the mechanisms responsible for social learning are clearly understood. It has been proposed that social learning phenomena be subsumed within the categorization scheme currently used by investigators of asocial learning. This scheme distinguishes categories of learning according to observable conditions, namely, the type of experience that gives rise to a change in an animal (single stimulus vs. stimulus-stimulus relationship vs. response-reinforcer relationship), and the type of behaviour in which this change is detected (response evocation vs. learnability) (Rescorla, 1988). Specifically, three alignments have been proposed: (i) stimulus enhancement with single stimulus learning, (ii) observational conditioning with stimulus-stimulus learning, or Pavlovian conditioning, and (iii) observational learning with response-reinforcer learning, or instrumental conditioning. If, as the proposed alignments suggest, the conditions of social and asocial learning are the same, there is some reason to believe that the mechanisms underlying the two sets of phenomena are also the same. This is so if one makes the relatively uncontroversial assumption that phenomena which occur under similar conditions tend to be controlled by similar mechanisms. However, the proposed alignments are intended to be a set of hypotheses, rather than conclusions, about the mechanisms of social learning; as a basis for further research in which animal learning theory is applied to social learning. A concerted attempt to apply animal learning theory to social learning, to find out whether the same mechanisms are responsible for social and asocial learning, could lead both to refinements of the general theory, and to a better understanding of the mechanisms of social learning. There are precedents for these positive developments in research applying animal learning theory to food aversion learning (e.g. Domjan, 1983; Rozin & Schull, 1988) and imprinting (e.g. Bolhuis, de Vox & Kruit, 1990; Hollis, ten Cate & Bateson, 1991). Like social learning, these phenomena almost certainly play distinctive roles in the antogeny of adaptive behaviour, and they are customarily regarded as 'special kinds' of learning (Shettleworth, 1993).(ABSTRACT TRUNCATED AT 400 WORDS) |
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Department of Psychology, University College London |
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1464-7931 |
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PMID:8054445 |
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refbase @ user @ |
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708 |
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Smolla, M.; Alem, S.; Chittka, L.; Shultz, S. |
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Title |
Copy-when-uncertain: bumblebees rely on social information when rewards are highly variable |
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2016 |
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Biology letters |
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Biol. Lett. |
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12 |
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6 |
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To understand the relative benefits of social and personal information use in foraging decisions, we developed an agent-based model of social learning that predicts social information should be more adaptive where resources are highly variable and personal information where resources vary little. We tested our predictions with bumblebees and found that foragers relied more on social information when resources were variable than when they were not. We then investigated whether socially salient cues are used preferentially over non-social ones in variable environments. Although bees clearly used social cues in highly variable environments, under the same conditions they did not use non-social cues. These results suggest that bumblebees use a 'copy-when-uncertain' strategy. |
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Equine Behaviour @ team @ |
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6198 |
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Bandini , E.; Motes-Rodrigo, A.; Steele, M.P.; Rutz, C.; Tennie, C. |
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Examining the mechanisms underlying the acquisition of animal tool behaviour |
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2020 |
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Biology Letters |
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Biol. Lett. |
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16 |
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2020122 |
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Equine Behaviour @ team @ |
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6660 |
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Pimenta, V.; Barroso, I.; Boitani, L.; Beja, P. |
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Risks a la carte: Modelling the occurrence and intensity of wolf predation on multiple livestock species |
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Journal Article |
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2018 |
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Biological Conservation |
Abbreviated Journal |
Biol. Conserva. |
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228 |
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331-342 |
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Human-wildlife conflict; Large carnivores; Livestock husbandry systems; Predation risk; Predation intensity |
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Predation on livestock is a source of human-wildlife conflicts and can undermine the conservation of large carnivores. To design effective mitigation strategies, it is important to understand the determinants of predation across livestock species, which often differ in husbandry practices, vulnerability to predators and economic value. Moreover, attention should be given to both predation occurrence and intensity, because these can have different spatial patterns and predictors. We used spatial risk modelling to quantify factors affecting wolf predation on five livestock species in Portugal. Within the 1619 parishes encompassing the entire wolf range in the country, the national wolf compensation scheme recorded 17,670 predation events in 2009-2015, each involving one or more livestock species: sheep (31.7%), cattle (27.7%), goats (26.8%), horses (14.8%) and donkeys (3.2%). Models built with 2009-2013 data and validated with 2014-2015 data, showed a shared general pattern of predation probability on each species increasing with its own density and proximity to wolf packs. For some species there were positive relations with the density of other livestock species, and with habitat variables such as altitude, and land cover by shrubland and natural pastures. There was also a general pattern for predation intensity on each species increasing with its own density, while proximity to wolf packs had no significant effects. Predation intensity on goats, cattle and horses increased with the use of communal versus private pastures. Our results suggest that although predation may occur wherever wolves coexist with livestock species, high predation intensity is mainly restricted to particular areas where husbandry practices increase the vulnerability of animals, and this is where mitigation efforts should concentrate. |
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0006-3207 |
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Equine Behaviour @ team @ |
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6438 |
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Author |
Schino, G.; Aureli, F. |
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Title |
Reciprocity in group-living animals: partner control versus partner choice |
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2016 |
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Biological Reviews |
Abbreviated Journal |
Biol Rev |
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92 |
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2 |
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665-672 |
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cooperation; reciprocity; partner control; partner choice; proximate mechanisms |
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ABSTRACT Reciprocity is probably the most debated of the evolutionary explanations for cooperation. Part of the confusion surrounding this debate stems from a failure to note that two different processes can result in reciprocity: partner control and partner choice. We suggest that the common observation that group-living animals direct their cooperative behaviours preferentially to those individuals from which they receive most cooperation is to be interpreted as the result of the sum of the two separate processes of partner control and partner choice. We review evidence that partner choice is the prevalent process in primates and propose explanations for this pattern. We make predictions that highlight the need for studies that separate the effects of partner control and partner choice in a broader variety of group-living taxa. |
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Wiley/Blackwell (10.1111) |
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1464-7931 |
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doi: 10.1111/brv.12248 |
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Equine Behaviour @ team @ |
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6411 |
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Suter, S.M.; Giordano, M.; Nietlispach, S.; Apollonio, M.; Passilongo, D. |
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Non-invasive acoustic detection of wolves |
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Journal Article |
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2016 |
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Bioacoustics |
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Bioacoustics |
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Monitoring wolves (Canis lupus) is a difficult and often expensive task due to high mobility,pack dynamic, shyness and nocturnal activity of this species. Wolves communicate acoustically trough howling, within pack and with packs of the neighbourhood. A wolf howl is a low frequency vocalization that can be transmitted over long distances and thus be used
for monitoring tasks. Animated howling survey is a current method to monitor wolves indifferent areas all over the world. Animated howling, however, may be invasive to residential wolf packs and could create possible negative reactions from local human population. Here we show that it is possible to detect wolves by recording spontaneous howling events. We measured the sound pressure level of wolf howls on captive individuals and we further found that simulated howling may be recorded and clearly identified up to a distance of 3 km. We finally conducted non-invasive acoustic detection of wolves in a free ranging population. The use of passive sound recorders may provide a powerful non-invasive tool for future wolf monitoring and thus help to established sustainable management plans for this species. |
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Equine Behaviour @ team @ |
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6500 |
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Passilongo, D.; Buccianti, A.; Dessi-Fulgheri, F.; Gazzola, A.; Zaccaronii, M.; Apollonio, M. |
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The Acoustic Structure Of Wolf Howls In Some Eastern Tuscany (Central Italy) Free Ranging Packs |
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2010 |
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Bioacoustics |
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Bioacoustics |
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19 |
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3 |
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159-175 |
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Canis lupus, acoustic structure, mammal communication, sonogram, fundamental frequency. |
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Italian wolf howls are described for the first time from observations between 2003–2008 of a population living in eastern Tuscany, central Italy. A sample of 37 howls selected among single responses and 128 howls included in the choruses of 7 free ranging packs was recorded and analysed. The mean fundamental frequency of the howls ranged between 274–908 Hz. Two main structures recognised by means of multivariate explorative analysis, in particular Principal Component and Cluster Analysis, were ascribed to breaking and flat howls. Discriminant Function Analysis was applied to the recognised groups with the aim to find a general rule for classification. Howls with different features were correctly assigned to the groups obtained by explorative analysis in 95.8% of cases. The analysis of the variables characterising the structure of the howls suggests that maximum frequency and range of fundamental frequency are the most important parameters for classification, while duration does not appear to play any significant role. |
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Equine Behaviour @ team @ |
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6499 |
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Nakagawa, S. |
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A farewell to Bonferroni: the problems of low statistical power and publication bias |
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2004 |
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Behavioral Ecology |
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beheco |
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6 |
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1044-1045 |
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Equine Behaviour @ team @ |
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6560 |
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