Publikationen von K Lloyd

Lloyd, K.; Dayan, P.: Reframing dopamine: A controlled controller at the limbic-motor interface. PLoS Computational Biology 19 (10), e1011569 (2023)

Machado Costa, K.; Scholz, R.; Lloyd, K.; Moreno-Castilla, P.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The role of the lateral orbitofrontal cortex in creating cognitive maps. Nature Neuroscience 26 (1), S. 107 - 115 (2023)

Chebolu, S.; Dayan, P.; Lloyd, K.: Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. PLoS Computational Biology 18 (10), e1010642 (2022)

Lloyd, K.; Sanborn, A.; Leslie, D.; Lewandowsky, S.: Why Higher Working Memory Capacity May Help You Learn: Sampling, Search, and Degrees of Approximation. Cognitive Science 43 (12), e12805 (2019)

Lloyd, K.; Dayan, P.: Pavlovian-instrumental interactions in active avoidance: The bark of neutral trials. Brain Research 1713, S. 52 - 61 (2019)

Lloyd, K.; Dayan, P.: Interrupting behaviour: Minimizing decision costs via temporal commitment and low-level interrupts. PLoS Computational Biology 14 (1), e1005916 (2018)

Lloyd, K.; Dayan, P.: Safety out of control: Dopamine and defence. Behavioral and Brain Functions 12 (1), 15 (2016)

Lloyd, K.; Dayan, P.: Tamping Ramping: Algorithmic, Implementational, and Computational Explanations of Phasic Dopamine Signals in the Accumbens. PLoS Computational Biology 11 (12), e1004622 (2015)

Lloyd, K.; Leslie, D.: Context-dependent decision-making: a simple Bayesian model. Interface: Journal of the Royal Society 10 (82) (2013)

Lloyd, K.; Becker, N.; Jones, M.; Bogacz, R.: Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats. Frontiers in Computational Neuroscience 6, 87 (2012)

Sui, X.; Dayan, P.; Lloyd, K.: Exploring Optimal Risk-Sensitive Behavior in the Balloon Analogue Risk Task (BART). In: 2024 Conference on Cognitive Computational Neuroscience, A30. Conference on Cognitive Computational Neuroscience (CCN 2024), Boston, MA, USA, 06. August 2024 - 09. August 2024. (2024)

Lloyd, K.; Sanborn, A.; Leslie, D.; Lewandowsky, S.: Why Does Higher Working Memory Capacity Help You Learn? In: 39th Annual Meeting of the Cognitive Science Society (CogSci 2017): Computational Foundations of Cognition, S. 767 - 772. 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), London, UK, 26. Juli 2017 - 29. Juli 2017. Curran, Red Hook, NY, USA (2017)

Dayan, P.; Lloyd, K.: Aversion or Inversion: The Curious Case of Dopamine and Punishment [Aversion ou inversion: le cas curieux de la Dopamine et la punition]. In NeuroFrance 2021, S28.2. NeuroFrance 2021, Strasbourg, France, 19. Mai 2021 - 21. Mai 2021. (2021)

Dayan, P.; Lloyd, K.; Nazemorroaya, A.; Bang, D.: Controlling the Controller: Instrumental Manipulations of Pavlovian Influences via Dopamine. Fifth International Convention on the Mathematics of Neuroscience and AI (Neuromonster 2024), Roma, Italy (2024)

Dayan, P.; Chen, K.; Gagne, C.; Lloyd, K.; Sui, X.: Risk in Sequential Decisions. 11th Bernoulli Lecture for the Behavioral Sciences: University of Basel, Basel, Switzerland (2023)

Lloyd, K.: Models of Action Selection: MDP. Computational Psychiatry Course Zurich 2023, Zürich, Switzerland (2023)

Horn, T.; Dayan, P.; Lloyd, K.: Modelling Pavlovian misbehaviour in a time interval discrimination task. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)

Sui, X.; Dayan, P.; Lloyd, K.: Exploring Optimal Risk-Sensitive Behavior in the Balloon Analogue Risk Task (BART). Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Chebolu, S.; Dayan, P.; Lloyd, K.: Fast ACh signals and the optimal control of attention in a detection task. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Costa, K.; Scholz, R.; Lloyd, K.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The orbitofrontal cortex is necessary for forming outcome-specific representations during learning Add to Itinerary. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)