| Tamping ramping: Algorithmic, implementational, and computational explanations of phasic dopamine signals in the accumbens K Lloyd, P Dayan PLoS computational biology 11 (12), e1004622, 2015 | 56 | 2015 |
| Safety out of control: dopamine and defence K Lloyd, P Dayan Behavioral and Brain Functions 12 (1), 15, 2016 | 54 | 2016 |
| Context-dependent decision-making: a simple Bayesian model K Lloyd, DS Leslie Journal of The Royal Society Interface 10 (82), 20130069, 2013 | 47 | 2013 |
| Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats K Lloyd, N Becker, MW Jones, R Bogacz Front. Comput. Neurosci 6 (87), 2012 | 28 | 2012 |
| The role of the lateral orbitofrontal cortex in creating cognitive maps KM Costa, R Scholz, K Lloyd, P Moreno-Castilla, MPH Gardner, P Dayan, ... Nature neuroscience 26 (1), 107-115, 2023 | 22 | 2023 |
| Why higher working memory capacity may help you learn: sampling, search, and degrees of approximation K Lloyd, A Sanborn, D Leslie, S Lewandowsky Cognitive Science 43 (12), e12805, 2019 | 22 | 2019 |
| Interrupting behaviour: Minimizing decision costs via temporal commitment and low-level interrupts K Lloyd, P Dayan PLoS computational biology 14 (1), e1005916, 2018 | 16 | 2018 |
| Pavlovian-instrumental interactions in active avoidance: The bark of neutral trials K Lloyd, P Dayan Brain research 1713, 52-61, 2019 | 8 | 2019 |
| Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task S Chebolu, P Dayan, K Lloyd PLOS Computational Biology 18 (10), e1010642, 2022 | 3 | 2022 |
| The role of the orbitofrontal cortex in creating cognitive maps KM Costa, R Scholz, K Lloyd, P Moreno-Castilla, MPH Gardner, P Dayan, ... bioRxiv, 2022.01. 25.477716, 2022 | 3 | 2022 |
| When it pays to be quick: dissociating control over task preparation and speed-accuracy trade-off in task switching B Jongkees, M Todd, K Lloyd, P Dayan, JD Cohen PsyArXiv, 2023 | 2 | 2023 |
| Reframing dopamine: A controlled controller at the limbic-motor interface K Lloyd, P Dayan PLOS Computational Biology 19 (10), e1011569, 2023 | 1 | 2023 |
| Why does higher working memory capacity help you learn? K Lloyd, AN Sanborn, D Leslie, S Lewandowsky CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science …, 2017 | 1 | 2017 |
| To act or not to act: Learning the value of not acting PA Howard-Jones, R Bogacz, K Lloyd | 1 | 2014 |
| Risk in Sequential Decisions P Dayan, K Chen, C Gagne, K Lloyd, X Sui 11th Bernoulli Lecture for the Behavioral Sciences: University of Basel, 2023 | | 2023 |
| Modelling Pavlovian misbehaviour in a time interval discrimination task TS Horn, P Dayan, K Lloyd 24th Conference of Junior Neuroscientists (NeNa 2023), 41, 2023 | | 2023 |
| Exploring Optimal Risk-Sensitive Behavior in the Balloon Analogue Risk Task (BART) X Sui, P Dayan, K Lloyd Computational Psychiatry Conference 2023, 2023 | | 2023 |
| Reframing dopamine: Controlling the controller at the limbic-motor interface K Lloyd, P Dayan bioRxiv, 2023.03. 25.534180, 2023 | | 2023 |
| Fast ACh signals and the optimal control of attention in a detection task S Chebolu, P Dayan, K Lloyd Computational and Systems Neuroscience Meeting (COSYNE 2022), 179, 2022 | | 2022 |
| The orbitofrontal cortex is necessary for forming outcome-specific representations during learning Add to Itinerary KM Costa, R Scholz, K Lloyd, MP Gardner, P Dayan, G Schoenbaum 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021), 2021 | | 2021 |
David S. LeslieProfessor of Statistical Learning, Lancaster UniversityVerified email at lancaster.ac.uk
