About the Project
We are also interested in using this basic knowledge to improve animal welfare, and to develop new and better ways of assessing animal emotion and well-being which can be implemented practically in labs / on-farms. Examples include the development of automated methods for measuring decision-making as a proxy indicator of affective state, or using an understanding of animal cognitive capacities to suggest changes to animal husbandry that improve welfare.
To achieve these aims, we collaborate with researchers in a range of disciplines (e.g. computer scientists; behavioural biologists; psychologists; vets; computational neuroscientists; statisticians; theoretical biologists; pharmacologists; insect biologists), and employ techniques including ethological methods of behaviour recording, operant training and testing methods, computer-based cognitive tasks, and (with collaborators) mathematical and statistical modeling and computer vision.
When applying please select ’Veterinary Science’ PhD within the Faculty of Health Sciences.
Mendl, M., Burman, O.H.P. & Paul, E.S. (2010). An integrative and functional framework for the study of animal emotion and mood. Proceedings of the Royal Society, B 277, 2895-2904. 10.1098/rspb.2010.0303
Mendl, M., Held, S. & Byrne, R.W. (2010). Pig cognition. Current Biology 20, R796-R798. 10.1016/j.cub.2010.07.018
Mendl, M. & Paul, E.S. (2020). Animal affect and decision-making. Neuroscience and Biobehavioral Reviews 112, 144-163. 10.1016/j.neubiorev.2020.01.025
Neville, V., Nakagawa, S., Zidar, J., Paul, E.S., Lagisz, M., Bateson, M., Lovlie, H. & Mendl, M. (2020). Pharmacological manipulations of judgement bias: a systematic review and meta-analysis. Neuroscience and Biobehavioral Reviews 108, 269-286. 10.1016/j.neubiorev.2019.11.008
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