Dr. Leendert van Maanen

Universitair hoofddocent
Psychologische Functieleer

Publicaties

2025

Wetenschappelijke publicaties

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. Advance online publication. [DOI]
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), Article 25152459251336127. [DOI]
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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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

Wetenschappelijke publicaties

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