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|

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. |UCL|

Schulz, E., Konstantinidis, E., & Speekenbrink, M. (in press). 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

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

|UCL|

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., 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|