| The evolution of decision rules in complex environments TMAD Group, TW Fawcett, B Fallenstein, AD Higginson, AI Houston, ... Trends in cognitive sciences 18 (3), 153-161, 2014 | 237 | 2014 |
| Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems PC Trimmer, AI Houston, JAR Marshall, R Bogacz, ES Paul, MT Mendl, ... Proceedings of the Royal Society B: Biological Sciences 275 (1649), 2353-2361, 2008 | 109 | 2008 |
| Decision-making under uncertainty: biases and Bayesians PC Trimmer, AI Houston, JAR Marshall, MT Mendl, ES Paul, ... Animal cognition 14 (4), 465-476, 2011 | 90 | 2011 |
| Foraging for foundations in decision neuroscience: insights from ethology D Mobbs, PC Trimmer, DT Blumstein, P Dayan Nature Reviews Neuroscience 19 (7), 419-427, 2018 | 88 | 2018 |
| Generalized optimal risk allocation: foraging and antipredator behavior in a fluctuating environment AD Higginson, TW Fawcett, PC Trimmer, JM McNamara, AI Houston The American Naturalist 180 (5), 589-603, 2012 | 86 | 2012 |
| On evolutionary explanations of cognitive biases JAR Marshall, PC Trimmer, AI Houston, JM McNamara Trends in ecology & evolution 28 (8), 469-473, 2013 | 75 | 2013 |
| The ecological rationality of state-dependent valuation. JM McNamara, PC Trimmer, AI Houston Psychological review 119 (1), 114, 2012 | 64 | 2012 |
| On the evolution and optimality of mood states PC Trimmer, ES Paul, MT Mendl, JM McNamara, AI Houston behavioral sciences 3 (3), 501-521, 2013 | 60 | 2013 |
| Does natural selection favour the Rescorla–Wagner rule? PC Trimmer, JM McNamara, AI Houston, JAR Marshall Journal of theoretical biology 302, 39-52, 2012 | 48 | 2012 |
| Adaptive use of information during growth can explain long-term effects of early life experiences S English, TW Fawcett, AD Higginson, PC Trimmer, T Uller The American Naturalist 187 (5), 620-632, 2016 | 44 | 2016 |
| Natural selection can favour ‘irrational’behaviour JM McNamara, PC Trimmer, AI Houston Biology Letters 10 (1), 20130935, 2014 | 41 | 2014 |
| Environmental variability can select for optimism or pessimism JM McNamara, PC Trimmer, A Eriksson, JAR Marshall, AI Houston Ecology letters 14 (1), 58-62, 2011 | 39 | 2011 |
| A conceptual framework for understanding behavioral responses to HIREC A Sih, PC Trimmer, SM Ehlman Current Opinion in Behavioral Sciences 12, 109-114, 2016 | 31 | 2016 |
| Optimal behaviour can violate the principle of regularity PC Trimmer Proceedings of the Royal Society B: Biological Sciences 280 (1763), 20130858, 2013 | 25 | 2013 |
| Predicting behavioural responses to novel organisms: state-dependent detection theory PC Trimmer, SM Ehlman, A Sih Proceedings of the Royal Society B: Biological Sciences 284 (1847), 20162108, 2017 | 23 | 2017 |
| The erroneous signals of detection theory PC Trimmer, SM Ehlman, JM McNamara, A Sih Proceedings of the Royal Society B: Biological Sciences 284 (1865), 20171852, 2017 | 21 | 2017 |
| Understanding the placebo effect from an evolutionary perspective PC Trimmer, JAR Marshall, L Fromhage, JM McNamara, AI Houston Evolution and human behavior 34 (1), 8-15, 2013 | 19 | 2013 |
| Is optimism optimal? Functional causes of apparent behavioural biases AI Houston, PC Trimmer, TW Fawcett, AD Higginson, JAR Marshall, ... Behavioural processes 89 (2), 172-178, 2012 | 19 | 2012 |
| Adaptive learning can result in a failure to profit from good conditions: implications for understanding depression PC Trimmer, AD Higginson, TW Fawcett, JM McNamara, AI Houston Evolution, medicine, and public health 2015 (1), 123-135, 2015 | 16 | 2015 |
| Prey responses to exotic predators: effects of old risks and new cues SM Ehlman, PC Trimmer, A Sih The American Naturalist 193 (4), 575-587, 2019 | 14 | 2019 |
James A. R. MarshallProfessor of Theoretical & Computational Biology, University of SheffieldVerified email at sheffield.ac.uk
