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Hoffman, C. L., & Suchak, M. (2017). Dog rivalry impacts following behavior in a decision-making task involving food. Anim. Cogn., , 1–13.
Abstract: Dogs learn a great deal from humans and other dogs. Previous studies of socially influenced learning between dogs have typically used a highly trained demonstrator dog who is unfamiliar to the observer. Because of this, it is unknown how dynamics between familiar dogs may influence their likelihood of learning from each other. In this study, we tested dogs living together in two-dog households on whether individual dogs’ rivalry scores were associated with performance on a local enhancement task. Specifically, we wanted to know whether dog rivalry impacted whether an observer dog would approach a plate from which a demonstrator dog had eaten all available food, or whether the observer dog would approach the adjacent plate that still contained food. Dog rivalry scores were calculated using the Canine Behavioral Assessment and Research Questionnaire and indicated each dog’s tendency to engage aggressively with the other household dog. Low-rivalry dogs were more likely to approach the empty plate than high-rivalry dogs when the observer dog was allowed to approach the plates immediately after the demonstrator had moved out of sight. This difference between low- and high-rivalry dogs disappeared, however, when observer dogs had to wait 5 s before approaching the plates. The same pattern was observed during a control condition when a human removed the food from a plate. Compared to low-rivalry dogs, high-rivalry dogs may pay less attention to other dogs due to a low tolerance for having other dogs in close proximity.
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Albright, J., Sun, X., & Houpt, K. Does cribbing behavior in horses vary with dietary taste or direct gastric stimuli? Appl Anim Behav Sci, .
Abstract: Abstract Concentrated feed diets have been shown to drastically increase the rate of the cribbing, an oral stereotypy in horses, but the specific component causing the rise has not been identified. Furthermore, the mechanism through which feed affects cribbing has not been explored. In the first experiment of this study, we quantified the latency to crib and number of cribs in 15 min after the horses tasted various grain, sugar, and artificial sweetener solutions. Undiluted grain stimulated the most cribs (P < 0.01) compared with all other solutions, and shortest latency to crib, although this was significantly higher only when compared with diluted grain (P = 0.03). In Experiment 2, latency to crib and number of cribs in 15 min after the grain and sugar solutions were administered via nasograstric tube were also evaluated. There were no statistical differences among cribbing responses to grain, fructose, and water administered directly to the stomach although grain stimulated cribbing behavior more quickly than 10% fructose (P = 0.03) and 100% tap water (P = 0.04). These results confirm that highly palatable diets, possibly mediated through the opioid and dopaminergic systems, are one of the most potent inducers of cribbing behavior. The highly palatable taste remains the probable “cribogenic” factor of concentrated diet, although gastric and post-gastric effects cannot be excluded.
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McGreevy, P. (2012). Equine Behavior A Guide for Veterinarians and Equine Scientists.
Abstract: Chapter 1 – Introduction, Pages 1-36
Chapter 2 – Perception, Pages 37-54
Chapter 3 – Behavior and the brain, Pages 55-84, Caroline Hahn
Chapter 4 – Learning, Pages 85-118
Chapter 5 – Social behavior, Pages 119-150
Chapter 6 – Communication, Pages 151-163
Chapter 7 – Locomotory behavior, Pages 165-187
Chapter 8 – Ingestive behavior, Pages 189-215
Chapter 9 – Eliminative behavior, Pages 217-221
Chapter 10 – Body care, Pages 223-243
Chapter 11 – Behavior of the stallion, Pages 245-264
Chapter 12 – Behavior of the mare, Pages 265-290
Chapter 13 – Training, Pages 291-311, Andrew McLean, Paul McGreevy
Chapter 14 – Handling and transport, Pages 313-329
Chapter 15 – Miscellaneous unwelcome behaviors, their causes and resolution, Pages 331-345
Further reading, Page 347
Glossary, Pages 351-356
Index, Pages 357-369
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McDonnell, S. (1999). Understanding horse behavior. Your guide to horse health care and management. Lexington, KY 40544-4038: Blood-Horse Inc.
Abstract: The author has conducted much research on equine behaviour, and here presents her findings in a form suitable for owners of horses. Common behavioural problems are mentioned.
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Ward, A., & Webster, M. (2016). Sociality: The Behaviour of Group-Living Animals.
Abstract: Covers the aspects of social behaviour of animals in comprehensive form Provides a clear overview to up-to-date empirical and theoretical research on social animal behaviour
Discusses collective animal behaviour, social networks and animal personality in detail
The last decade has seen a surge of interest among biologists in a range of social animal phenomena, including collective behaviour and social networks. In ‘Animal Social Behaviour’, authors Ashley Ward and Michael Webster integrate the most up-to-date empirical and theoretical research to provide a new synthesis of the field, which is aimed at fellow researchers and postgraduate students on the topic. ​
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Wynne C. D. L. (2001). Animal Cognition: The Mental Lives of Animals. Palgrave.
Abstract: Covering a wide range of key topics, from reasoning and communication to sensation and complex problem-solving, this engagingly-written text presents a comprehensive survey of contemporary research on animal cognition. Written for anyone with an interest in animal cognition, but without a background in animal behaviour, it endeavours to explain what makes animals tick.
With numerous illustrations and including exciting recent studies from many little-studied species (such as the weakly electric African fish), this text is ideal for psychology students who are interested in how much of our human cognition is shared by other species, for students of biology who want to know how complex animal behaviour can get, and for all those with an interest in the animal mind.
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Rogers, L. J. (2017). A Matter of Degree: Strength of Brain Asymmetry and Behaviour. Symmetry, 9(4).
Abstract: Research on a growing number of vertebrate species has shown that the left and right sides of the brain process information in different ways and that lateralized brain function is expressed in both specific and broad aspects of behaviour. This paper reviews the available evidence relating strength of lateralization to behavioural/cognitive performance. It begins by considering the relationship between limb preference and behaviour in humans and primates from the perspectives of direction and strength of lateralization. In birds, eye preference is used as a reflection of brain asymmetry and the strength of this asymmetry is associated with behaviour important for survival (e.g., visual discrimination of food from non-food and performance of two tasks in parallel). The same applies to studies on aquatic species, mainly fish but also tadpoles, in which strength of lateralization has been assessed as eye preferences or turning biases. Overall, the empirical evidence across vertebrate species points to the conclusion that stronger lateralization is advantageous in a wide range of contexts. Brief discussion of interhemispheric communication follows together with discussion of experiments that examined the effects of sectioning pathways connecting the left and right sides of the brain, or of preventing the development of these left-right connections. The conclusion reached is that degree of functional lateralization affects behaviour in quite similar ways across vertebrate species. Although the direction of lateralization is also important, in many situations strength of lateralization matters more. Finally, possible interactions between asymmetry in different sensory modalities is considered.
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A. Lanata, A. Guidi, G. Valenza, P. Baragli, & E. P. Scilingo. (2016). Quantitative heartbeat coupling measures in human-horse interaction. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2696–2699). 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (E.
Abstract: Abstract— We present a study focused on a quantitative estimation of a human-horse dynamic interaction. A set of measures based on magnitude and phase coupling between heartbeat dynamics of both humans and horses in three different conditions is reported: no interaction, visual/olfactory interaction and grooming. Specifically, Magnitude Squared Coherence (MSC), Mean Phase Coherence (MPC) and Dynamic Time Warping (DTW) have been used as estimators of the amount of coupling between human and horse through the analysis of their heart rate variability (HRV) time series in a group of eleven human subjects, and one horse. The rationale behind this study is that the interaction of two complex biological systems go towards a coupling process whose dynamical evolution is modulated by the kind and time duration of the interaction itself. We achieved a congruent and consistent
statistical significant difference for all of the three indices. Moreover, a Nearest Mean Classifier was able to recognize the three classes of interaction with an accuracy greater than 70%. Although preliminary, these encouraging results allow a discrimination of three distinct phases in a real human-animal interaction opening to the characterization of the empirically proven relationship between human and horse.
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Lanata, A., Guidi, A., Valenza, G., Baragli, P., & Scilingo, E. P. (2017). The Role of Nonlinear Coupling in Human-Horse Interaction: a Preliminary Study. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Abstract: This study focuses on the analysis of humanhorse
dynamic interaction using cardiovascular information
exclusively. Specifically, the Information Theoretic Learning
(ITL) approach has been applied to a Human-Horse Interaction
paradigm, therefore accounting for the nonlinear information
of the heart-heart interplay between humans and horses.
Heartbeat dynamics was gathered from humans and horses
during three experimental conditions: absence of interaction,
visual-olfactory interaction, and brooming. Cross Information
Potential, Cross Correntropy, and Correntropy Coefficient were
computed to quantitatively estimate nonlinear coupling in a
group of eleven subjects and one horse. Results showed a
statistical significant difference on all of the three interaction
phases. Furthermore, a Support Vector Machine classifier
recognized the three conditions with an accuracy of 90:9%.
These preliminary and encouraging results suggest that ITL
analysis provides viable metrics for the quantitative evaluation
of human-horse interaction.
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Krueger, K., Marr, I., & Farmer, K. (2017). Equine Cognition. In J. Vonk, & T. Shackelford (Eds.), Encyclopedia of Animal Cognition and Behavior (pp. 1–11). Cham: Springer International Publishing.
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