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Author |
Nicol, C.J |
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Title |
Equine Stereotypies. In: Houpt K.A. (Ed.), |
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2000 |
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Recent Advances in Companion Animal Behavior Problems |
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International Veterinary Information Service |
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refbase @ user @ |
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477 |
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Mendl M, Held Z. |
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Title |
Living in gourps: Evolutionary Perspective |
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Social Behavior in Farm Animals |
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An understanding of social behavior is increasingly necessary in farm animal husbandry as more animals are housed in groups rather than in individual stalls or pens. There may be economic or welfare reasons for such housing. This book is the first to specifically address this important subject. The chapters fall into three broad subject areas: concepts in social behavior; species specific chapters; current issues. Authors include leading experts from Europe, North America, Australia and New Zealand. |
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9780851993973 |
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refbase @ user @ |
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512 |
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McGreevy, P.D. |
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Book Whole |
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2004 |
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Equine Behavior: A Guide for Veterinarians and Equine Scientists |
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Cited By (since 1996): 25; Export Date: 21 October 2008 |
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Equine Behaviour @ team @ |
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4530 |
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Zahn-Waxler, C; Radke-Yarrow, M. |
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Title |
The Development of Altruism: Alternative Research Strategies |
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1982 |
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The Development of Prosocial Behavior |
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New York: Academic Press |
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New York |
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Eisenberg , N. |
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Equine Behaviour @ team @ |
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5011 |
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Author |
Neumann Inga D; Veenema Alexa H; Beiderbeck Daniela I |
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Title |
Aggression and anxiety: social context and neurobiological links |
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Journal Article |
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2010 |
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Frontiers in Behavioral Neuroscience |
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4 |
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1 |
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BACKGROUND: Psychopathologies such as anxiety- and depression-related disorders are often characterized by impaired social behaviours including excessive aggression and violence. Excessive aggression and violence likely develop as a consequence of generally disturbed emotional regulation, such as abnormally high or low levels of anxiety. This suggests an overlap between brain circuitries and neurochemical systems regulating aggression and anxiety. In this review, we will discuss different forms of male aggression, rodent models of excessive aggression, and neurobiological mechanisms underlying male aggression in the context of anxiety. We will summarize our attempts to establish an animal model of high and abnormal aggression using rats selected for high (HAB) versus low (LAB) anxiety-related behaviour. Briefly, male LAB rats and, to a lesser extent, male HAB rats show high and abnormal forms of aggression compared with non-selected (NAB) rats, making them a suitable animal model for studying excessive aggression in the context of extremes in innate anxiety. In addition, we will discuss differences in the activity of the hypothalamic-pituitary-adrenal axis, brain arginine vasopressin, and the serotonin systems, among others, which contribute to the distinct behavioural phenotypes related to aggression and anxiety. Further investigation of the neurobiological systems in animals with distinct anxiety phenotypes might provide valuable information about the link between excessive aggression and disturbed emotional regulation, which is essential for understanding the social and emotional deficits that are characteristic of many human psychiatric disorders. |
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Issn 1662-5153 |
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Equine Behaviour @ team @ |
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5163 |
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Author |
Watt, L. M.; McDonnell, S. M. |
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Title |
Demonstration of Concept Formation in the Horse. |
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Report |
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2001 |
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Equine Behavior Laboratory, University of Pennsylvania School of Veterinary Medicine, August 2001 Interim Report. |
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University of Pennsylvania |
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Philadephia |
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Equine Behaviour @ team @ |
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5449 |
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Fenner, K.; Freire, R.; McLean, A.; McGreevy, P. |
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Title |
Behavioral, demographic and management influences on equine responses to negative reinforcement |
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2018 |
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Journal of Veterinary Behavior |
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Learning; horse management; training; temperament; negative reinforcement |
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Understanding the factors that influence horse learning is critical to ensure horse welfare and rider safety. In this study, data were obtained from horses (n=96) training to step backwards through a corridor in response to bit pressure. Following training, learning ability was determined by the latency to step backwards through the corridor when handled on the left and right reins. Additionally, horse owners were questioned about each horse's management, training, behavior and signalment (such as horse breed, age and sex). Factors from these four broad domains were examined using a multiple logistic regression (MLR) model, following an Information Theoretic approach, for associations between horses' behavioral attributes and their ability to learn the task. The MLR also included estimates of the rider's ability and experience as well as owner's perceptions of their horse's trainability and temperament. Results revealed several variables including explanatory variables that correlated significantly with rate of learning. Horses were faster at backing, a behavioral trait, when handled on the right (t = 3.65, df = 94, P < 0.001) than the left side. Thoroughbred horses were slower at completing the tests than other breeds of horses when handled on the left side (LM, F1,48=4.5, P=0.04) and right side (LM, F1,45=6.0, P=0.02). Those in regular work, a training factor, did not learn faster than their unworked counterparts on the right rein but completed the task faster on the left rein (F1,44=5.47, P=0.02). This may reflect differences in laterality and habituation effects. In contrast, more anxious horses were faster at completing the test when handled from the right (Spearman, r=-0.22, P=0.04). It is possible that these horses have an increased arousal level when interacting with handlers, resulting in more engagement with the lesson, accounting for the improved performance results. The findings of this study will help clarify how horse behavior, training and management may influence learning and how their application may optimize learning outcomes. Future equine behavior assessment and research questionnaires should include items that assess these qualities. |
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1558-7878 |
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Equine Behaviour @ team @ |
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6400 |
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Author |
Boitani, L. |
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Title |
Patterns of homesites attendance in two Minnesota wolf packs |
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Year |
1982 |
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Wolves of the World: Perspectives of Behavior, Ecology and Conservation |
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Noyes, Park Ridge |
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New York |
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Harrington, F.H.; Paquet, P.C. |
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Equine Behaviour @ team @ Boitani1982 |
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6474 |
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Author |
Preston, S.D.; de Waal, F.B.M. |
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Title |
Empathy: Its ultimate and proximate bases |
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2002 |
Publication |
Behavioral and Brain Sciences |
Abbreviated Journal |
Behav Brain Sci |
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25 |
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1 |
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1-20; discussion 20-71 |
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Keywords |
Adult; Animals; Child; Emotions/physiology; *Empathy; Evolution; Haplorhini; Helping Behavior; Humans; Mental Disorders/physiopathology/psychology; Morals; Personality Development; Phylogeny; Prefrontal Cortex/physiopathology; Socialization |
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There is disagreement in the literature about the exact nature of the phenomenon of empathy. There are emotional, cognitive, and conditioning views, applying in varying degrees across species. An adequate description of the ultimate and proximate mechanism can integrate these views. Proximately, the perception of an object's state activates the subject's corresponding representations, which in turn activate somatic and autonomic responses. This mechanism supports basic behaviors (e.g., alarm, social facilitation, vicariousness of emotions, mother-infant responsiveness, and the modeling of competitors and predators) that are crucial for the reproductive success of animals living in groups. The Perception-Action Model (PAM), together with an understanding of how representations change with experience, can explain the major empirical effects in the literature (similarity, familiarity, past experience, explicit teaching, and salience). It can also predict a variety of empathy disorders. The interaction between the PAM and prefrontal functioning can also explain different levels of empathy across species and age groups. This view can advance our evolutionary understanding of empathy beyond inclusive fitness and reciprocal altruism and can explain different levels of empathy across individuals, species, stages of development, and situations. |
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University of Iowa Hospital and Clinics, 2RCP-Neurology Clinic, Iowa City, IA 52242. stephanie-d-preston@uiowa.edu |
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0140-525X |
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PMID:12625087 |
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refbase @ user @ |
Serial |
181 |
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Lazareva, O.F.; Smirnova, A.A.; Bagozkaja, M.S.; Zorina, Z.A.; Rayevsky, V.V.; Wasserman, E.A. |
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Title |
Transitive responding in hooded crows requires linearly ordered stimuli |
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2004 |
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Journal of the experimental analysis of behavior |
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J Exp Anal Behav |
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82 |
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1 |
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1-19 |
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Animals; *Association; Cognition/physiology; Crows; Discrimination (Psychology); *Discrimination Learning; Feedback; Reinforcement (Psychology); Visual Perception/physiology |
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Eight crows were taught to discriminate overlapping pairs of visual stimuli (A+ B-, B+ C-, C+ D-, and D+ E-). For 4 birds, the stimuli were colored cards with a circle of the same color on the reverse side whose diameter decreased from A to E (ordered feedback group). These circles were made available for comparison to potentially help the crows order the stimuli along a physical dimension. For the other 4 birds, the circles corresponding to the colored cards had the same diameter (constant feedback group). In later testing, a novel choice pair (BD) was presented. Reinforcement history involving stimuli B and D was controlled so that the reinforcement/nonreinforcement ratios for the latter would be greater than for the former. If, during the BD test, the crows chose between stimuli according to these reinforcement/nonreinforcement ratios, then they should prefer D; if they chose according to the diameter of the feedback stimuli, then they should prefer B. In the ordered feedback group, the crows strongly preferred B over D; in the constant feedback group, the crows' choice did not differ significantly from chance. These results, plus simulations using associative models, suggest that the orderability of the postchoice feedback stimuli is important for crows' transitive responding. |
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Institute of Higher Nervous Activity, Moscow State University. olga-lazareva@uiowa.edu |
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0022-5002 |
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PMID:15484868 |
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refbase @ user @ |
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612 |
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