Dr Roland Baddeley
Research
The real world is fundamentally noisy and uncertain. Dealing with this uncertainty is one of the most diffuclt things animals do. Over the last 200 years Bayesian techniques have been developed to deal with such uncertainty, and the development of computers has great expanded what problems can be approached.
I am interested in applying such techniques to understanding human and animal cognition. As long as reasonably large data sets can be gathered, insight can be gained into most problems, but at the moment I am interested in visual development, eposodic and semantic memory (and forgetting), eye movements, and signalling in animals.
Biography
My first degree was in Artificial Intelligence and Computer Science from Sussex, and after various computer related jobs in the industry, I did a PhD with Roger Watt at Stirling University on statistical models of early vision. After post-docs in Cambridge Physiology department (with Horace Barlow), and Oxford Psychology and Physiology, I got a lectureship in Experimental Psychology at the University of Sussex. I moved at the end of 2003 to Bristol.
Publications
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Fennell, J. G., Talas, L., Baddeley, R. J., Cuthill, I. C., Scott-Samuel, N. E. 2020. The Camouflage Machine: Optimising protective colouration using deep learning with genetic algorithms. bioRxiv, 903484.
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Talas, L., Fennell, J. G., Kjernsmo, K., Cuthill, I. C., Scott-Samuel, N. E., Baddeley, R. J. In Press. CamoGAN: Evolving optimum camouflage with Generative Adversarial Networks. Methods in Ecology and Evolution.
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Fennell, J. G., Talas, L., Baddeley, R. J., Cuthill, I. C., Scott-Samuel, N. E. Optimising colour for camouflage and visibility using deep learning: the effects of the environment and the observer’s visual system. Journal of the Royal Society Interface, 16, 20190183.
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Talas, L., Baddeley, R. J. & Cuthill, I.C. 2017. Cultural evolution of military camouflage. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1724), 20160351.
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Hall, J. R, Cuthill, I. C., Roland Baddeley, Angela S. Attwood, Marcus R. Munafò, Nicholas E. Scott-Samuel 2016. Dynamic dazzle distorts speed perception. PLoS ONE, 11(5), e0155162.
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Scott-Samuel, N. E., Holmes, G., Baddeley, R. & Cuthill, I. C. 2015. Moving in groups: how density and unpredictable motion affect predation risk. Behavioral Ecology and Sociobiology, 69(6), 867-872.
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Allen, W. L., Baddeley, R. J., Scott-Samuel, N. E. & Cuthill, I. C. 2013. The evolution and function of pattern diversity in snakes. Behavioural Ecology, 24(5), pp. 1237-1250.
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Hall, J. R., Cuthill, I. C., Baddeley, R. J., Shohet, A. J. & Scott-Samuel, N. E. 2013. Camouflage, detection and identification of moving targets. Proceedings of the Royal Society B – Biological Sciences, 280(1758), pp. 1-7.
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Allen, W. L., Baddeley, R. J., Cuthill, I. C. & Scott-Samuel, N. E. 2012. A quantitative test of the predicted relationship between countershading and lighting environment. The American Naturalist, 180(6), pp. 762-776.
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Scott-Samuel, N. E., Baddeley, R. J., Palmer, C. E. & Cuthill, I. C. 2011. Dazzle camouflage affects speed perception. PLoS ONE, 6(6), e20233.
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Allen, W. L., Cuthill, I. C., Scott-Samuel, N. E. & Baddeley, R. J. 2011. Why the leopard got its spots: relating pattern development to ecology in felids. Proceedings of the Royal Society B – Biological Sciences, 278(1710), pp. 1373-1380.
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Kelman, E. J., Osorio, D. & Baddeley, R. J. 2008. A review of cuttlefish camouflage and object recognition and evidence for depth perception. Journal of Experimental Biology, 211, 1757-1763.
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Crook, A. C., Baddeley, R. J. & Osorio, D. 2002. Identifying the structure in cuttlefish visual signals. Philosophical Transactions of the Royal Society B: Biological Sciences, 357(1427), 1617-1624.