Christensen, J. W., Ahrendt, L. P., Lintrup, R., Gaillard, C., Palme, R., & Malmkvist, J. (2012). Does learning performance in horses relate to fearfulness, baseline stress hormone, and social rank? In Applied Animal Behaviour Science (Vol. 140, pp. 44–52).
Abstract: The ability of horses to learn and remember new tasks is fundamentally important for their use by humans. Fearfulness may, however, interfere with learning, because stimuli in the environment can overshadow signals from the rider or handler. In addition, prolonged high levels of stress hormones can affect neurons within the hippocampus; a brain region central to learning and memory. In a series of experiments, we aimed to investigate the link between performance in two learning tests, the baseline level of stress hormones, measured as faecal cortisol metabolites (FCM), fearfulness, and social rank. Twenty-five geldings (2 or 3 years old) pastured in one group were included in the study. The learning tests were performed by professional trainers and included a number of predefined stages during which the horses were gradually trained to perform exercises, using either negative (NR) or positive reinforcement (PR). Each of the learning tests lasted 3 days; 7min/horse/day. The NR test was repeated in a novel environment. Performance, measured as final stage in the training programme, and heart rate (HR) were recorded. Faeces were collected on four separate days where the horses had been undisturbed at pasture for 48h. Social rank was determined through observations of social interactions during feeding. The fear test was a novel object test during which behaviour and HR were recorded. Performance in the NR and PR learning tests did not correlate. In the NR test, there was a significant, negative correlation between performance and HR in the novel environment (rS=-0.66, P<0.001, i.e. nervous horses had reduced performance), whereas there was no such correlation in the home environment (both NR and PR). Behavioural reactions in the fear test correlated significantly with performance in the NR test in the novel environment (e.g. object alertness and final stage: rS=-0.43, P=0.04), suggesting that performance under unfamiliar, stressful conditions may be predicted by behavioural responses in a fear test. There was a negative correlation between social rank and baseline stress hormones (rS=-0.43, P=0.04), i.e. high rank corresponded to low FCM concentrations, whereas neither rank nor FCM correlated with fearfulness or learning performance. We conclude that performance under stressful conditions is affected by activation of the sympathetic nervous system during training and related to behavioural responses in a standardised fear test. Learning performance in the home environment, however, appears unrelated to fearfulness, social rank and baseline FCM levels.
|
Ahrendt, L. P., Christensen, J. W., & Ladewig, J. (2012). The ability of horses to learn an instrumental task through social observation. In Applied Animal Behaviour Science (Vol. 139, pp. 105–113).
Abstract: The ability of horses to learn through social observation may ease the implementation of new management systems, because the use of automatic feeders etc. by naive horses could be facilitated by observation of experienced horses. However, previous studies found no documentation for observational learning abilities in horses. This study aimed to investigate the ability of horses to learn an instrumental task from a familiar conspecific when social interaction was allowed during the demonstration. Two similar experiments were performed. In the first experiment, Observer horses (n=11) participated in ten successive demonstrations, where a trained Demonstrator opened an operant device by pushing a sliding lid aside with the muzzle in order to obtain a food reward. Immediately after the demonstrations the Observer horses were given the opportunity to operate the device alone. Control horses (n=11) were aware that the device contained food but were presented to the operant device without demonstration of the task. The learning criterion was at least two openings. Accomplishment of and latency to accomplish the learning criterion, and investigative behaviour towards the operant device were recorded. Five Observers and one Control, out of the eleven horses in each treatment group, accomplished the learning criterion. Even though this presents a high odds ratio (OR) in favour of the Observer treatment (OR=7.6), there was no significant difference between the treatment groups (P=0.15). Analysis of investigative behaviour showed, however, that the demonstrations increased the motivation of the Observer horses to investigate the device. Subsequently, a similar experiment was performed in a practical setting with 44 test horses (mixed age, gender and breed). We used the same operant device and the same number and type of demonstrations, although the horses were held on a loose rope to minimise aggression. In this second experiment, six of 23 Observer horses and five of 21 Control horses learned the instrumental task, representing no influence of the demonstration. Thus, this study did not demonstrate an ability of horses to learn an instrumental task through observation.
|
Feh, C. (2005). Relationships and Communication in Socially Natural Horse Herds. In D. S. Mills, & S. M. McDonnell (Eds.), The domestic horse : the origins, development, and management of its behaviour. Cambridge: Cambridge University Press 2005.
Abstract: Horses are quite unique. In most mammals, sexes segregate and maintain bonds only during the breeding season (Clutton-Brock, 1989). Some canids, a few rodents and primate species such as gorillas, hamadryas baboons and red howler monkeys are the exception, where the same males stay with the same females all year round and over many breeding seasons. Typically, both sexes disperse at puberty in these species. In horses, it was clearly shown that the causes for female dispersal were incest avoidance and not intra-specific competition (Monard, 1996). As a rule, this is confirmed for mammal species where tenure length by males exceeds the age at first reproduction in females (Clutton-Brock, 1989). When horses are allowed to choose their mating partner freely, the inbreeding coefficient of the offspring is lower than expected should they mate randomly (Duncan et al, 1984).
|
Nathan J. Emery. (2005). The Evolution of Social Cognition. In The Cognitive Neuroscience of Social BehaviourGarten. Psychology Press.
Abstract: Although this bookis focusedon the cognitive neuroscience ofhuman social behaviour, an
understandingofsocial cognition in non-human animals is critical for unravellingthe neural basis of
social cognition in humans as well as the selective pressures that have shapedthe evolution ofcomplex
social cognition. Thanks to methodological limitations, we know little about the relationships between
certain biochemical andelectrophysiological properties ofthe human brain andhow theycompute the
behaviour andmental states ofother individuals. Traditional techniques for examiningneural function
in humans, such as event-relatedpotentials (ERP),positron emission tomography(PET),and
functional magnetic resonance imaging(fMRI),are constrainedbythe fact that subjects are placed
either into an immoveable scanner with a lot ofbackgroundnoise or wiredup with dozens of
electrodes that are sensitive to slight movements. The possibilityofscanningor recordingbrain waves
from two individuals that are physicallyinteractingsociallyis technicallyimpossible at present
(however, see Montague et al, 2002 for a new methodfor simultaneouslyscanningtwo individuals
interactingvia a computer).
The onlywayto understandthe neurocognitive architecture ofhuman social behaviour is to examine
similar social processes in both human andnon-human animal minds andmake comparisons at the
species level. An additional argument is that traditional human socio-cognitive tasks are dependent on
the use ofstories, cartoons andverbal cues andinstructions (Heberlein & Adolphs, this volume)which
themselves will elicit specific neural responses that have to be eliminatedfrom neural responses
specificallyrelatedto mindreading. Therefore, the development ofnon-verbal tasks wouldprovide a
breakthrough for studies in non-linguistic animals, pre-verbal human infants andhuman cognitive
neuroimaging.
|
|
Pusey, A. E., & Packer, C. (2003). The Ecology of relationships. In J. R. Krebs, N. B. Davis, & (Ed.), Behavioural Ecology (pp. 254–283). Oxford: Blackwell Scientific Publication.
|
|
Giraldeau, L. - A. (1997). The ecology of information use. In J. R. Krebs, & N. B. Davies (Eds.), Behavioural ecology : an evolutionary approach. Cambridge, Mass.: Blackwell Science.
|
|
unknown. (1997). Personality and Personality Disorders. In R. Plomin, J. C. DeFries, G. E. McClearn, & M. Rutter (Eds.), Behavioural Genetics (3rd ed., pp. 195–207). New York: W. H. Freeman and Company.
|
|
Hausberger, M., & Richard-Yris, M. - A. (2005). Individual differences in the domestic horse, origins, development and stability. In D. S. Mills, & McDonnell (Eds.), The domestic horse : the origins, development, and management of its behaviour (pp. 33–52). Cambridge: Cambridge University Press 2005.
|
|
Bergmüller, R. (2010). Animal Personality and Behavioural Syndromes. In P. Kappeler (Ed.), Animal Behaviour – Evolution and Mechanisms (pp. 587–621). Heidelberg: Springer.
|
van Schaik, C. P. (2010). Social learning and culture in animals. In P. Kappeler (Ed.), Animal Behaviour: Evolution and Mechanisms (pp. 623–653). Springer Berlin Heidelberg.
Abstract: Most animals must learn some of the behaviours in their repertoire, and some must learn most. Although learning is often thought of as an individual exercise, in nature much learning is social, i.e. under the influence of conspecifics. Social learners acquire novel information or skills faster and at lower cost, but risk learning false information or useless skills. Social learning can be divided into learning from social information and learning through social interaction. Different species have different mechanisms of learning from social information, ranging from selective attention to the environment due to the presence of others to copying of complete motor sequences. In vertical (or oblique) social learning, naïve individuals often learn skills or knowledge from parents (or other adults), whereas horizontal social learning is from peers, either immatures or adults, and more often concerns eavesdropping and public information use. Because vertical social learning is often adaptive, maturing individuals often have a preference for it over individual exploration. The more cognitively demanding social learning abilities probably evolved in this context, in lineages where offspring show long association with parents and niches are complex. Because horizontal learning can be maladaptive, especially when perishable information has become outdated, animals must decide when to deploy social learning. Social learning of novel skills can lead to distinct traditions or cultures when the innovations are sufficiently rare and effectively transmitted socially. Animal cultures may be common but to date taxonomic coverage is insufficient to know how common. Cultural evolution is potentially powerful, but largely confined to humans, for reasons currently unknown. A general theory of culture is therefore badly needed.
|
