Speekenbrink, M., & Visser, I. (submitted). Ignorable and non-ignorable missing data in hidden Markov models.
Topf, S., & Speekenbrink, M. (submitted). Agent, behaviour, trace, repeat: Understanding the cognitive processes involved in human stigmergic coordination.
Topf, S., & Speekenbrink, M. (submitted). I’ll have what she’s had! Popularity beliefs moderate the preference for scarce options in the choice of food items.
Topf, S., & Speekenbrink, M. (2023). Follow my example, for better and for worse: The influence of behavioral traces on recycling decisions. Journal of Experimental Psychology: Applied, 29, 189-206. |UCL|
Guennouni, I., Speekenbrink, M. (2022). Transfer of learned opponent models in repeated games. Computational Brain and Behaviour, 5, 326–342
Speekenbrink, M. (2022). Chasing unknown bandits: Uncertainty guidance in learning and decision making. Current Directions in Psychological Science, 31, 419-427 |UCL|
Topf, S., & Speekenbrink, M. (2022). Evidence of ‘Green’ behaviours: Exploring behavioural traces of pro- and anti-environmental behaviors. Journal of Environmental Psychology, 84, 101886. |UCL|
Visser, I., & Speekenbrink, M. (2022). Mixture and hidden Markov models with R. Springer.
Wu, C.M., Schulz, E., Pleskac, T.J. & Speekenbrink, M. (2022). Time pressure changes how people explore and respond to uncertainty. Scientific Reports, 12, 4122 |UCL|
Guennouni, I., Speekenbrink, M. (2021). Transfer of learned opponent models in repeated games. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society
Saanum, T., Eric, S., Speekenbrink, M. (2021). Compositional generalization in multi-armed bandits. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society
Tickle, H., Tsetsos, K., Speekenbrink, M., Summerfield, C. (2021). Human optional stopping in a heteroscedastic world. Psychological Review
Stojic, H., Orquin, J.L., Dayan, P., Dolan, R., & Speekenbrink, M. (2020). Uncertainty in learning, choice and visual fixation. Proceedings of the National Academy of the Sciences of the USA, 117, 3291-3300. |UCL|
Stojic, H., Schulz, E., Analytis, P. P., & Speekenbrink, M. (2020). It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options. Journal of Experimental Psychology: General, 149, 1878-1907. |UCL|
Fuhrmann, D., Casey, C.S., Speekenbrink, M., & Blakemore, S.J. (2019). Social exclusion affects working memory performance in young adolescent girls. Developmental Cognitive Neuroscience, 40, 100718. |UCL|
Grech, L., Jeffares, D., Sadée, C.Y., Rodriguez-Lopez, M., Bitton, D.A., Hoti, M., Biagosch, C., Aravani, D., Speekenbrink, M., Illingworth, C.J. and Schiffer, P.H. (2019). Fitness Landscape of the Fission Yeast Genome. Molecular biology and evolution, 36, 1612–1623. |UCL|
Harris, A. J. L., Blower, F. B. N., Rodgers, S. A., Lagator, S., Page, E., Burton, A., Urlichich, D., & Speekenbrink, M. (2019). Failures to replicate a key result of the selective accessibility theory of anchoring. Journal of Experimental Psychology: General, 148, e30–e50. |UCL|
Harris, A.J.L., Sildmae, O., Speekenbrink, M., & Hahn, U. (2018) The potential power of experience in communications of expert consensus levels. Journal of Risk Research, 22, 593-609. |UCL|
Schweizer S, Leung J.T., Kievit, R., Speekenbrink, M., Trender, W., Hampshire, A., Blakemore, S.J. (2019). Protocol for an app-based affective control training for adolescents: proof-of-principle double-blind randomized controlled trial [version 1; peer review: 3 approved, 1 approved with reservations]. Wellcome Open Research, _4:91) |UCL|
Speekenbrink, M. (2019). Identifiability of Gaussian Bayesian bandit models. Proceedings of the 2019 Conference on Cognitive Computational Neuroscience. 686-688.
Cai, Z.G., Wang, R., Shen, M., & Speekenbrink, M. (2018) Cross-dimensional magnitude interactions arise from memory interference. Cognitive Psychology, 106, 21-42. |UCL|
Schulz, E., Konstantinidis, E., & Speekenbrink, M. (2018). Putting bandits into context: How function learning supports decision making. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44, 927-943. |UCL|
Schulz, E., Speekenbrink, M., & Krause, A (2018) A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions. Journal of Mathematical Psychology, 85, 1-16. |UCL|
Schulz, E., Wu, C.M., Huys, Q.J.M., Krause, A., & Speekenbrink, M. (2018) Generalization and search in risky environments. Cognitive Science |UCL|
Weiss-Cohen, L., Konstantinidis, E., Speekenbrink, M., & Harvey, N. (2018). Task complexity moderates the influence of descriptions in decisions from experience. Cognition, 170, 209-227. |UCL|
Wu, C.M., Schulz, E., Speekenbrink, M., Nelson, J.D., & Meder, B. (2018) Generalization guides human exploration in vast decision spaces. Nature Human Behavior, 2, 915–924
Cai, Z., Wang, R., Liu, H., & Speekenbrink, M. (2017) Task oriented Bayesian inference in interval timing: People use their prior reproduction experience to calibrate time reproduction. In: Gunzelmann, G., Howes, A., Tenbrink, T. & Davelaar, E. J. (Eds.). Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. pp. 192-197
Harvey, N., Twyman, M., & Speekenbrink, M. (2017) Asymmetric detection of changes in volatility: Implications for risk perception. In: Gunzelmann, G., Howes, A., Tenbrink, T. & Davelaar, E. J. (ed.). Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. pp. 2162-2167.
Schulz, E., Klenske, E. D., Bramley, N. R., & Speekenbrink, M. (2017) Strategic exploration in human adaptive control. In: Gunzelmann, G., Howes, A., Tenbrink, T., & Davelaar, E. J. (Eds.). Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Austiin, TX: Cognitive Science Society. pp. 1140-1145.
Schulz, E., Tenenbaum, J. B., Duvenaud, D., Speekenbrink, M., & Gershman, S. J. (2017). Compositional inductive biases in function learning. Cognitive Psychology, 99, 44-79. |UCL|
Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2017) Mapping the unknown: The spatially correlated multi-armed bandit. In: Gunzelmann, G., Howes, A., Tenbrink, T., & Davelaar, E. J. (Eds.). Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 1357-1362.
Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2017) Mapping the unknown: The spatially correlated multi-armed bandit. In: Gunzelmann, G.; Howes, A.; Tenbrink, T. & Davelaar, E. J. (Eds.) Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Cognitive Science Society. pp. 1357-1362
Fuhrmann, D., Knoll, L. J., Sakhardande, A. L., Speekenbrink, M., Kadosh, K. C., & Blakemore, S.-J. (2016). Perception and recognition of faces in adolescence. Scientific Reports, 6 |UCL|
Harris, A. J. L., & Speekenbrink, M. (2016). Semantic cross-scale numerical anchoring. Judgment and Decision Making, 11, 572–581.
Knoll, L. J., Fuhrmann, D., Sakhardande, A., Stamp, F., Speekenbrink, M., & Blakemore, S.-J. (2016). A window of opportunity for cognitive training in adolescence. Psychological Science, 27, 1620-1631. |UCL|
Potê, I., Torkamani, M., Kefalopoulou, Z., Zrinzo, L., Limousin-Dowsey, P., Foltynie, T., Speekenbrink, M., & Jahanshahi, M. (2016) Subthalamic nucleus deep brain stimulation induces impulsive action when patients with Parkinson’s disease act under speed pressure. Experimental Brain Research, 234, 1837-1848. |UCL|
Schulz, E., Huys, Q., Bach, D., Speekenbrink, M., & Krause, A. (2016) Better safe than sorry: Risky function exploitation through safe optimization. In: Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J. C. (Eds.) Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 1140-1145. |UCL|
Schulz, E., Speekenbrink, M., & Meder, B. (2016) Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation. In: Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.) Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Austin, TX: Cognitive Science Society. pp. 1140-1145. |UCL|
Schulz, E., Tenenbaum, J., Duvenaud, D. K., Speekenbrink, M., & Gershman, S. J. (2016) Probing the compositionality of intuitive functions. In: Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (Eds.). Advances in Neural Information Processing Systems, 29. Curran Associates, Inc.. pp. 3729-3737. |UCL|
Speekenbrink, M. (2016). A tutorial on particle filters. Journal of Mathematical Psychology, 73, 140-152. |UCL|
Tickle, H., Speekenbrink, M., Tsetsos, K., Michael, E., & Summerfield, C. (2016) Near-optimal integration of magnitude in the human parietal cortex. Journal of Cognitive Neuroscience, 28, 589-603. |UCL|
Weiss-Cohen, L., Konstantinidis, E., Speekenbrink, M., & Harvey, N. (2016) Incorporating conflicting descriptions into decisions from experience. Organizational Behavior and Human Decision Processes, 135, 55-69. |UCL|
Bramley, N., Lagnado, D. A., & Speekenbrink, M. (2015). Conservative forgetful scholars: How people learn causal structure through sequences of interventions. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41, 708-731. |UCL|
Cappelletti, M., Pikkat, H., Upstill, E., Speekenbrink, M., & Walsh, V. (2015). Learning to integrate versus inhibiting information is modulated by age. Journal of Neuroscience, 35, 2213-2225 |UCL|
Huang, Y.-T., Georgiev, D., Foltynie, T., Limousin, P., Speekenbrink, M., & Jahanshahi, M. (2015) Different effects of dopaminergic medication on perceptual decision-making in Parkinson’s disease as a function of task difficulty and speed-accuracy instructions. Neuropsychologia, 75, 577-587. |UCL|
Knoll, L. J., Magis-Weinberg, L., Speekenbrink, M., & Blakemore, S.-J. (2015) Social influence on risk perception during adolescence. Psychological Science, 26, 583-592. |UCL|
Kohl, S., Aggeli, K., Obeso, I., Speekenbrink, M., Limousin, P., Kuhn, J., & Jahanshahi, M. (2015). In Parkinson’s disease pallidal deep brain stimulation speeds up response initiation but has no effect on reactive inhibition. Journal of Neurology, 262, 1741-1750. |UCL|
Mills, K. L., Dumontheil, I., Speekenbrink, M., & Blakemore, S. J. (2015) Multitasking during social interactions in adolescence and early adulthood. Royal Society Open Science, 2 |UCL|
Parpart, P., Schulz, E., Speekenbrink, M., & Love, B. C. (2015) Active learning as a means to distinguish among prominent decision strategies. In: Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.) Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 1829-1834. |UCL|
Schulz, E., Konstantinidis, E., & Speekenbrink, M. (2015) Learning and decisions in contextual multi-armed bandit tasks. In: Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C.D., & Maglio, P. P. (Eds.) Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 2122-2127. |UCL|
Schulz, E., Tenenbaum, J. B., Reshef, D. N., Speekenbrink, M., & Gershman, S. J. (2015) Assessing the perceived predictability of functions. In: Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.). Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 2116-2121. |UCL|
Speekenbrink, M., & Konstantinidis, E. Uncertainty and exploration in a restless bandit problem. Topics in Cognitive Science, 7, 351-367. |UCL|
Stojic, H., Analytis, P. P., & Speekenbrink, M. (2015) Human behavior in contextual multi-armed bandit problems. In: Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.). Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 2290-2295.
Konstantinidis, E., Speekenbrink, M., Stout, J. C., Ahn, W.-Y., & Shanks, D. R. (2014) To simulate or not? Comment on Steingroever, Wetzels, and Wagenmakers (2014). Decision, 1, 184-191. |UCL|
Obeso, I., Wilkinson, L., Casabona, E., Speekenbrink, M., Luisa Bringas, M., Álvarez, M., Álvarez, L., Pavón, N., Rodríguez-Oroz, M. C., Macías, R., Obeso, J., & Jahanshahi, M. (2014) The subthalamic nucleus and inhibitory control: Impact of subthalamotomy in Parkinson’s disease. Brain, 137, 1470-1480 |UCL|
Osman, M., Ryterska, A., Karimi, K., Tu, L., Obeso, I., Speekenbrink, M., & Jahanshahi, M. (2014) The effects of dopaminergic medication on dynamic decision making in Parkinson’s disease. Neuropsychologia, 53, 157-164. |UCL|
Schulz, E., Speekenbrink, M., & Shanks, D.R. (2014) Predict choice: A comparison of 21 mathematical models. In: Bello, P., Gaurini, M., McShane, M., & Scassellati, B. (Eds.) Proceedings of the 36th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 2889-2894. |UCL|
Speekenbrink, M., & Konstantinidis, E. (2014) Uncertainty and exploration in a restless bandit task. In: Bello, P., Gaurini, M., McShane, M., & Scassellati, B. (Eds.) Proceedings of the 36th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 1491-1496. |UCL|
Visser, I. & Speekenbrink, M. (2014) Comments on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. Test, 23, 478-483. |UCL|
Visser, I. & Speekenbrink, M. (2014) It’s a catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models. In: Bello, P., Gaurini, M., McShane, M. & Scassellati, B. (Eds.) Proceedings of the 36th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 1688-1693. |UCL|
Speekenbrink, M. & Shanks, D. R. (2013) Decision making. In: Reisberg, D. (Ed.) Oxford handbook of cognitive psychology. New York, NY: Oxford University Press. pp. 682-703 |UCL|
Berry, C. J., Shanks, D. R., Speekenbrink, M., & Henson, R. N. (2012). Models of recognition, repetition priming, and fluency: Exploring a new framework. Psychological Review, 119, 40-79. |UCL|
Osman, M., & Speekenbrink, M. (2012) Prediction and control in a dynamic environment. Frontiers in Psychology, 3: 68 |UCL|
Speekenbrink, M. (2012) Amnesia and Learning. In: Seel, N. M. (Ed.) Encyclopedia of the Sciences of Learning. Springer. pp. 210-212 |UCL|
Speekenbrink, M., Twyman, M., & Harvey, N. (2012) Change detection under autocorrelation. In: Myake, N., Peebles, D., & Cooper, R. P. (Eds.) Proceedings of the 34th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society. pp. 1001-1006. |UCL|
Osman, M., & Speekenbrink, M. (2011) Cue utilization and strategy application in stable and unstable dynamic environments. Cognitive Systems Research, 12, 355-364. |UCL|
Speekenbrink, M. & Shanks, D. R. (2011) Is everyone Bayes? On the testable implications of Bayesian Fundamentalism - Erratum. Behavioral and Brain Sciences, 34, 291. |UCL|
Speekenbrink, M. & Shanks, D. R. (2011) Is everyone Bayes? On the testable implications of Bayesian Fundamentalism. Behavioral and Brain Sciences, 34, 213-214. |UCL|
Lagnado, D. A., & Speekenbrink, M. (2010) The influence of delays in real-time causal learning. The Open Psychology Journal, 3, 184-195 |UCL|
Speekenbrink, M. & Shanks, D. R. (2010) Learning in a changing environment. Journal of Experimental Psychology: General, 139, 266-298. |UCL|
Speekenbrink, M., Lagnado, D. A., Wilkinson, L., Jahanshahi, M., & Shanks, D. R. (2010) Models of probabilistic category learning in Parkinson’s disease: Strategy use and the effects of L-dopa. Journal of Mathematical Psychology, 54, 123-136. |UCL|
Visser, I. & Speekenbrink, M. (2010) depmixS4: An R-package for hidden Markov models. Journal of Statistical Software, 36, 1-21. |UCL|
Visser, I., Jansen, B. R. J., & Speekenbrink, M. (2010) A framework for discrete change. In: Molenaar, P.C.M. & Newell, K. M. (Eds.) Individual Pathways of Change. Washington: American Psychological Association. |UCL|
Speekenbrink, M., & Shanks, D. R. (2008) Through the looking glass: A dynamic lens model approach to multiple cue learning. In: Chater, N., & Oaksford, M. (Eds.) The probabilistic mind, Oxford University Press. pp. 409-429. |UCL|
Speekenbrink, M., Channon, S., & Shanks, D. R. (2008) Learning strategies in amnesia. Neuroscience and Biobehavioral Reviews, 32, 292-310. |UCL|
Speekenbrink, M. (2003) The hierarchical theory of justification and statistical model selection. In: Yanai, H., Okada, A., Shigemasu, K., Kano, Y. & Meulman, J. J. (Eds.) New Developments in Psychometrics, Springer-Verlag. pp. 331-338. |UCL|