Working papers

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). Evidence of ‘green’ behaviours: Exploring behavioural traces of pro- and anti-environmental behaviours.

Topf, S., & Speekenbrink, M. (submitted). Follow my example, for better and for worse: The influence of behavioural traces on recycling decisions.

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.

Wu, C.M., Schulz, E., Pleskac, T.J. & Speekenbrink, M. (submitted). Time to explore: Adaptation of exploration under time pressure.

2021

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

2020

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|

2019

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.

2018

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

2017

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

2016

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|

2015

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.

2014

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|

2013

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|

2012

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|

2011

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|

2010

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|

2008

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|

2004

Speekenbrink, M. (2004) De ongegronde eis tot consensus in de methodologie. Nederlands Tijdschrift voor de Psychologie, 59, 1-10.

2003

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|