Dr. Leendert van Maanen

Associate Professor
Experimental Psychology

Publications

2025

Scholarly publications

van Maanen, L., Bachmann, D., Özüdoğru, T., Bouwhuizen, M., & Liefooghe, B. (2025). Modeling the cognitive processes of accepting clinical decision support. Quarterly Journal of Experimental Psychology. Advance online publication. [DOI]
Link, P., van Maanen, L., & Dotlacil, J. (2025). The Role of Semantic Similarity in Memory Retrieval. Poster session presented at Psycholinguistics in Flanders (PIF) 2025, Lille, France.
Link, P., van Maanen, L., & Dotlacil, J. (2025). Similarity Comes at a Cost: Novel Evidence for Associative Memory Retrieval. Poster session presented at 31st Annual AMLaP Conference, Prague, Czech Republic.
Schweigkofler, F., Stuit, S., Wagemans, J., Nijboer, T., van Maanen, L., & van der Stigchel, S. (2025). Understanding Navon: A detailed structural and conceptual analysis of a basic local–global task. Psychonomic Bulletin and Review, 32(6), 3323-3345. [DOI] [Portal]
COVID-RED consortium, Zwiers, L. C., Veen, D., Mitratza, M., Brakenhoff, T. B., Goodale, B. M., Klaver, P., Hage, K. Y., van Willigen, M., Downward, G. S., Lugtig, P., van Maanen, L., Van der Stigchel, S., van der Heijden, P., Cronin, M., & Grobbee, D. E. (2025). Increasing retention in a large-scale decentralised clinical trial: learnings from the COVID-RED trial. Mayo Clinic Proceedings: Digital Health, 3(4). [DOI] [Portal]
Boag, R. J., Innes, R. J., Stevenson, N., Bahg, G., Busemeyer, J. R., Cox, G. E., Donkin, C., Frank, M. J., Hawkins, G. E., Heathcote, A., Hedge, C., Lerche, V., Lilburn, S. D., Logan, G. D., Matzke, D., Miletić, S., Osth, A. F., Palmeri, T. J., Sederberg, P. B., ... Forstmann, B. U. (2025). An Expert Guide to Planning Experimental Tasks For Evidence-Accumulation Modeling. Advances in Methods and practices in Psychological Science , 8(2). [DOI] [Portal]
Qing, T., Strauch, C., Van Maanen, L., & Van der Stigchel, S. (2025). Shifting reliance between the internal and external world: A meta-analysis on visual-working memory use. Psychonomic bulletin & review, 32(3), 1118–1130. [DOI] [Portal]
Kolvoort, I., Davis, Z. J., Rehder, B., & van Maanen, L. (2025). Models of Variability in Probabilistic Causal Judgments. Computational Brain and Behavior, 8, 162-188. [DOI] [Portal]

2024

Scholarly publications

Weindel, G., van Maanen, L., & Borst, J. (2024). Trial-by-trial detection of cognitive events in neural time-series. Imaging Neuroscience, 2, 1-28. [DOI] [Portal]
Ramotowska, S., Marty, P., van Maanen, L., & Sudo, Y. (2024). Some but not all speakers sometimes but not always derive scalar implicatures. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46, pp. 3931-3938). UC Merced. https://escholarship.org/uc/item/1p41114b [Portal]
Kolvoort, I. R., Fisher, E. L., van Rooij, R., Schulz, K., & van Maanen, L. (2024). Probabilistic causal reasoning under time pressure. PLoS One, 19(4 April), Article e0297011. [DOI] [Portal]
Bachmann, D., van der Wal, O., Chvojka, E., Zuidema, W. H., van Maanen, L., & Schulz, K. (2024). fl-IRT-ing with Psychometrics to Improve NLP Bias Measurement. Minds and Machines, 34(4), Article 37. [DOI] [Portal]
Van Maanen, L., Zhang, Y., De Schryver, M., & Liefooghe, B. (2024). The Curve of Learning With and Without Instructions. Journal of Cognition, 7(1), Article 48. [DOI] [Portal]
Ramotowska, S., Haaf, J., Van Maanen, L., & Szymanik, J. (2024). Most quantifiers have many meanings. Psychonomic Bulletin and Review, 31(6), 2692-2703. [DOI] [Portal]
Ramotowska, S., Archambeau, K., Augurzky, P., Schlotterbeck, F., Berberyan, H. S., Van Maanen, L., & Szymanik, J. (2024). Testing two-step models of negative quantification using a novel machine learning analysis of EEG. Language, Cognition and Neuroscience, 39(5), 632-656. [DOI] [Repository]
Van der Wal, O., Bachmann, D., Leidinger, A., van Maanen, L., Zuidema, W., & Schulz, K. (2024). Undesirable Biases in NLP: Addressing Challenges of Measurement. Journal of Artificial Intelligence Research, 79, 1-40. [DOI] [Repository]
Bachmann, D., & van Maanen, L. (2024). Towards the application of evidence accumulation models in the design of (semi-)autonomous driving systems -: an attempt to overcome the sample size roadblock. International journal of human-computer studies, 185, Article 103220. [DOI] [Repository]
Hogenboom, SAM., Schulz, K., & van Maanen, L. (2024). Implicit association tests: Stimuli validation from participant responses. British Journal of Social Psychology, 63(2), 975-1002. [DOI] [Repository]
Ferreira Couto, J., Lebreton, M., & van Maanen, L. (2024). Specificity and sensitivity of the fixed-point test for binary mixture distributions. Behavior Research Methods, 56(4), 2977–2991. [DOI] [Portal]
Aydogan, T., Karsilar, H., Duyan, Y. A., Akdogan, B., Baccarani, A., Brochard, R., De Corte, B., Crystal, J. D., Cavdaroglu, B., Gallistel, C. R., Grondin, S., Gur, E., Hallez, Q., de Jong, J., van Maanen, L., Matell, M., Narayanan, N. S., Ozoglu, E., Oztel, T., ... Balci, F. (2024). The timing database: An open-access, live repository for interval timing studies. Behavior Research Methods, 56(1), 290–300. [DOI] [Repository]

2023

Scholarly publications

Potthoff, R., Ramotowska, S., Szymanik, J., & van Maanen, L. (2023). Time-pressure Does Not Alter the Bias Towards Canonical Interpretation of Quantifier. Proceedings of the Annual Conference of the Cognitive Science Society, 45, 2275-2281. https://escholarship.org/uc/item/828102w9 [Repository]
Kolvoort, I. R., Temme, N., & van Maanen, L. (2023). The Bayesian Mutation Sampler Explains Distributions of Causal Judgments. Open Mind, 7, 318-349. [DOI] [Repository]
Archambeau, K., Couto, J., & Van Maanen, L. (2023). Non-parametric mixture modeling of cognitive psychological data: A new method to disentangle hidden strategies. Behavior Research Methods, 55(5), 2232-2248. [DOI] [Repository]
Ramotowska, S., Steinert-Threlkeld, S., van Maanen, L., & Szymanik, J. (2023). Uncovering the Structure of Semantic Representations Using a Computational Model of Decision‐Making. Cognitive Science, 47(1), Article e13234. [DOI] [Repository]
Liefooghe, B., & van Maanen, L. (2023). Three levels at which the user's cognition can be represented in artificial intelligence. Frontiers in Artificial Intelligence, 5, Article 1092053. [DOI] [Repository]
van de Pol, I., Lodder, P., van Maanen, L., Steinert-Threlkeld, S., & Szymanik, J. (2023). Quantifiers satisfying semantic universals have shorter minimal description length. Cognition, 232, 1-29. Article 105150. [DOI] [Repository]

2022

Scholarly publications

Van de Velde, M., Sense, F., Borst, J., van Maanen, L., & Van Rijn, H. (2022). Capturing Dynamic Performance in a Cognitive Model: Estimating ACT-R Memory Parameters with the Linear Ballistic Accumulator. Topics in Cognitive Science, 14(4), 889-903. [DOI] [Repository]
Katsimpokis, D., van Maanen, L., & Varlokosta, S. (2022). Decomposing response times in Williams syndrome in separate cognitive processes. Language, Cognition and Neuroscience, 37(4), 440-456. [DOI] [Repository]

2021

Scholarly publications

Kolvoort, I., Davis, Z., van Maanen, L., & Rehder, B. (2021). Variability in causal judgments. Proceedings of the Annual Conference of the Cognitive Science Society, 43, 1250-1256. https://escholarship.org/uc/item/7kf17429 [Repository]
van de Pol, I., Lodder, P., van Maanen, L., Steinert-Threlkeld, S., & Szymanik, J. (2021). Quantifiers satisfying semantic universals are simpler. Proceedings of the Annual Conference of the Cognitive Science Society, 43, 756-762. https://escholarship.org/uc/item/1vm445rp [Repository]
van Maanen, L., van der Heiden, R., Bootsma, S., & Janssen, C. (2021). Identifiability and Specificity of the Two-Point Visual Control Model of Steering. Proceedings of the Annual Conference of the Cognitive Science Society, 43, 237-243. https://escholarship.org/uc/item/8dt2302r [Repository]
Van Maanen, L., Portoles, O., & Borst, J. P. (2021). The Discovery and Interpretation of Evidence Accumulation Stages. Computational Brain & Behavior, 4(4), 395-415. [DOI] [Repository]
Maaß, S. C., Jong, J. D., van Maanen, L., & van Rijn, H. (2021). Conceptually plausible Bayesian inference in interval timing. Royal Society Open Science, 8(8), 1-19. Article 201844. [DOI] [Repository]
Berberyan, H. S., van Maanen, L., van Rijn, H., & Borst, J. (2021). EEG-based Identification of Evidence Accumulation Stages in Decision-Making. Journal of Cognitive Neuroscience, 33(3), 510-527. [DOI] [Repository]
Tran, N.-H., van Maanen, L., Heathcote, A., & Matzke, D. (2021). Systematic Parameter Reviews in Cognitive Modeling: Towards a Robust and Cumulative Characterization of Psychological Processes in the Diffusion Decision Model. Frontiers in Psychology, 11, 1-14. Article 608287. [DOI] [Repository]
Groeneweg, E., Archambeau, K., & van Maanen, L. (2021). A Hidden semi-Markov model classifier for strategy detection in multiplication problem solving. In Proceedings of the International Conference on Cognitive Modeling (pp. 302-308) [Repository]
Kingma, B. R. M., Roijendijk, L. M. M., Van Maanen, L., Van Rijn, H., & Van Beurden, M. H. P. H. (2021). Time perception and timed decision task performance during passive heat stress. Temperature, 8(1), 53-63. [DOI] [Repository]
van Maanen, L., & Miletić, S. (2021). The interpretation of behavior-model correlations in unidentified cognitive models. Psychonomic Bulletin and Review, 28(2), 374–383. [DOI] [Repository]

2020

Scholarly publications

Ramotowska, S., Steinert-Threlkeld, S., van Maanen, L., & Szymanik, J. (2020). Most, but not more than half, is proportion-dependent and sensitive to individual differences. In Proceedings of Sinn und Bedeutung (2 ed., Vol. 24, pp. 165-182). University of Osnabrück/University of Berlin. [DOI] [Repository]
Schlotterbeck, F., Ramotowska, S., van Maanen, L., & Szymanik, J. (2020). Representational complexity and pragmatics cause the monotonicity effect. https://cognitivesciencesociety.org/cogsci20/papers/0826/index.html
Boehm, U., van Maanen, L., Evans, N. J., Brown, S. D., & Wagenmakers, E. J. (2020). A theoretical analysis of the reward rate optimality of collapsing decision criteria. Attention, Perception, and Psychophysics, 82(3), 1520-1534. [DOI] [Repository]
Couto, J., Van Maanen, L., & Lebreton, M. (2020). Investigating the origin and consequences of endogenous default options in repeated economic choices. PLoS One, 15(8), Article e0232385. [DOI] [Repository]
Archambeau, K., Forstmann, B., Van Maanen, L., & Gevers, W. (2020). Proactive interference in aging: A model-based study. Psychonomic bulletin & review, 27(1), 130-138. [DOI] [Repository]
Katsimpokis, D., Hawkins, G. E., & van Maanen, L. (2020). Not all Speed-Accuracy Trade-Off Manipulations Have the Same Psychological Effect. Computational Brain & Behavior, 3, 252–268. [DOI]

2019

Scholarly publications

Neville, D. A., Raaijrnakers, J. G. W., & van Maanen, L. (2019). Modulation of the word frequency effect in recognition memory after an unrelated lexical decision task. Journal of Memory and Language, 108, Article 104026. [DOI]
van Maanen, L., & van Rijn, H. (2019). The observed locus of semantic interference may not coincide with the functional locus of semantic interference: A commentary on Shitova et al. Cortex, 111, 327-332. [DOI]
Salzer, Y., de Hollander, G., van Maanen, L., & Forstmann, B. U. (2019). A neural substrate of early response capture during conflict tasks in sensory areas. Neuropsychologia, 124, 226-235. [DOI]
Anders, R., Van Maanen, L., & Alario, F.-X. (2019). Multi-factor analysis in language production: Sequential sampling models mimic and extend regression results. Cognitive Neuropsychology, 36(5-6), 234-264. [DOI]
van Maanen, L., Van der Mijn, R., Van Beurden, MHPH., Roijendijk, LMM., Kingma, BRM., Miletić, S., & Van Rijn, H. (2019). Core body temperature speeds up temporal processing and choice behavior under deadlines. Scientific Reports, 9, Article 10053. [DOI] [Repository]
Van Maanen, L., Katsimpokis, D., & van Campen, A. D. (2019). Fast and slow errors: logistic regression to identify patterns in accuracy-response time relationships. Behavior Research Methods, 51, 2378–2389. [DOI] [Repository]
Miletić, S., & van Maanen, L. (2019). Caution in decision-making under time pressure is mediated by timing ability. Cognitive Psychology, 110, 16-29. [DOI] [Repository]

2018

Scholarly publications

Bruineberg, J., Rietveld, E., Parr, T., van Maanen, L., & Friston, K. J. (2018). Free-energy minimization in joint agent-environment systems: A niche construction perspective. Journal of Theoretical Biology, 455, 161-178. [DOI]
Keuken, M. C., van Maanen, L., Boswijk, M., Forstmann, B. U., & Steyvers, M. (2018). Large scale structure-function mappings of the human subcortex. Scientific Reports, 8(1), 15854. [DOI]

2017

Scholarly publications

Turner, B. M., Forstmann, B. U., Love, B. C., Palmeri, T. J., & Van Maanen, L. (2017). Approaches to analysis in model-based cognitive neuroscience. Journal of Mathematical Psychology, 76, 65-79. [DOI]
Miletic, S., Turner, B. M., Forstmann, B. U., & van Maanen, L. (2017). Parameter recovery for the Leaky Competing Accumulator model. Journal of Mathematical Psychology, 76, 25-50. [DOI]
Anders, R., Riès, S., Van Maanen, L., & Alario, F.-X. (2017). Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection. Cognitive Neuropsychology, 34(1-2), 1-20. [DOI]

2016

Scholarly publications

Forstmann, B. U., de Hollander, G., van Maanen, L., Alkemade, A., & Keuken, M. C. (2016). Towards a mechanistic understanding of the human subcortex. Nature Reviews Neuroscience, 18(1), 57-65. [DOI]
van Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E.-J., & Heathcote, A. (2016). The impact of MRI scanner environment on perceptual decision-making. Behavior Research Methods, 48(1), 184-200. [DOI]
van Maanen, L. (2016). Is There Evidence for a Mixture of Processes in Speed-Accuracy Trade-Off Behavior? Topics in Cognitive Science, 8(1), 279-90. [DOI]
Rijn, H. V., Borst, J., Taatgen, N., & Maanen, L. V. (2016). On the necessity of integrating multiple levels of abstraction in a single computational framework. Current Opinion in Behavioral Sciences. [DOI]
Maanen, L. V., Couto, J., & Lebreton, M. (2016). Three Boundary Conditions for Computing the Fixed-Point Property in Binary Mixture Data. PLoS One, 11(11), Article e0167377. [DOI]
Anders, R., Alario, F. X., & van Maanen, L. (2016). The shifted Wald distribution for response time data analysis. Psychological Methods, 21(3), 309-327. [DOI]

2015

Scholarly publications

Anders, R., Ries, S., van Maanen, L., & Alario, F. .-X. (2015). Evidence accumulation as a model for lexical selection. Cognitive Psychology, 82, 57-73. [DOI]
van Maanen, L., Turner, B., & Forstmann, B. U. (2015). From model-based perceptual decision-making to spatial interference control. Current Opinion in Behavioral Sciences, 1, 72-77. [DOI]
Turner, B. M., van Maanen, L., & Forstmann, B. U. (2015). Informing cognitive abstractions through neuroimaging: the neural drift diffusion model. Psychological Review, 122(2), 312-336. [DOI]
Keuken, M. C., Van Maanen, L., Bogacz, R., Schäfer, A., Neumann, J., Turner, R., & Forstmann, B. U. (2015). The subthalamic nucleus during decision-making with multiple alternatives. Human Brain Mapping, 36(10), 4041-4052. [DOI]

2014

Scholarly publications

Mulder, M. J., van Maanen, L., & Forstmann, B. U. (2014). Perceptual Decision Neurosciences - a Model-based Review. Neuroscience, 277, 872-884. [DOI]
Donkin, C., & Van Maanen, L. (2014). Pieron's Law is not just an artifact of the response mechanism. Journal of Mathematical Psychology, 62-63, 22-32. [DOI]
Winkel, J., Keuken, M. C., van Maanen, L., Wagenmakers, E.-J., & Forstmann, B. U. (2014). Early evidence affects later decisions: why evidence accumulation is required to explain response time data. Psychonomic bulletin & review, 21(3), 777-84. [DOI]
Boehm, U., van Maanen, L., Forstmann, B., & van Rijn, H. (2014). Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution. NeuroImage, 96, 95-105. [DOI]
van Maanen, L., De Jong, R., & Van Rijn, H. (2014). How to assess the existence of competing strategies in cognitive tasks: a primer on the fixed-point property. PLoS One, 9, e106113-e106113. [DOI]

2013

Scholarly publications

Mulder, M. J., & van Maanen, L. (2013). Are accuracy and reaction time affected via different processes? PLoS One, 8(11), e80222. [DOI]
Mulder, M. J., Keuken, M. C., van Maanen, L., Boekel, W., Forstmann, B. U., & Wagenmakers, E.-J. (2013). The speed and accuracy of perceptual decisions in a random-tone pitch task. Attention, Perception, and Psychophysics, 75(5), 1048-58. [DOI]

2012

Scholarly publications

Winkel, J., van Maanen, L., Ratcliff, R., van der Schaaf, M. E., van Schouwenburg, M. R., Cools, R., & Forstmann, B. U. (2012). Bromocriptine does not alter speed-accuracy tradeoff. Frontiers in Neuroscience, 6, 126. [DOI]
Ho, T., Brown, S., van Maanen, L., Forstmann, B. U., Wagenmakers, E.-J., & Serences, J. T. (2012). The optimality of sensory processing during the speed-accuracy tradeoff. Journal of Neuroscience, 32(23), 7992-8003. [DOI]
van Maanen, L., Grasman, R. P. P. P., Forstmann, B. U., & Wagenmakers, E.-J. (2012). Piéron's Law and Optimal Behavior in Perceptual Decision-Making. Frontiers in Neuroscience, 5, 143. [DOI]
van Maanen, L., Grasman, R. P. P. P., Forstmann, B. U., Keuken, M. C., Brown, S. D., & Wagenmakers, E.-J. (2012). Similarity and number of alternatives in the random-dot motion paradigm. Attention, Perception, and Psychophysics, 74(4), 739-53. [DOI]

2011

Scholarly publications

van Maanen, L., Brown, S. D., Eichele, T., Wagenmakers, E.-J., Ho, T., Serences, J., & Forstmann, B. U. (2011). Neural correlates of trial-to-trial fluctuations in response caution. Journal of Neuroscience, 31(48), 17488-95. [DOI]
van Maanen, L., van Rijn, H., & Taatgen, N. (2011). RACE/A: an architectural account of the interactions between learning, task control, and retrieval dynamics. Cognitive Science, 36(1), 62-101. [DOI]

2010

Scholarly publications

Van Maanen, L., Van Rijn, H., van Grootel, M., Kemna, S., Klomp, M., & Scholtens, E. (2010). Personal Publication Assistant: Abstract recommendations by a cognitive model. Cognitive Systems Research, 11(1), 120-129. [DOI]
van Maanen, L., & van Rijn, H. (2010). The locus of the Gratton effect in picture-word interference. Topics in Cognitive Science, 2(1), 168-80. [DOI]
van Maanen, L., & Verbrugge, R. (2010). A computational model of second-order social reasoning..

2009

Scholarly publications

van Maanen, L., van Rijn, H., & Borst, J. P. (2009). Stroop and picture-word interference are two sides of the same coin. Psychonomic bulletin & review, 16(6), 987-99. [DOI]

2008

Scholarly publications

Niessen, M. E., Maanen, L. V., & Andringa, T. C. (2008). Disambiguating Sounds through Context. In 2008 IEEE International Conference on Semantic Computing (pp. 88-95). Article 4597178 IEEE. [DOI]

2007

Scholarly publications

van Maanen, L., & van Rijn, H. (2007). An accumulator model of semantic interference. Cognitive Systems Research, 8(3), 174-181. [DOI]