Dr. Leendert van Maanen

Associate Professor
Experimental Psychology

Publications

2024

Scholarly publications

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. https://doi.org/10.1016/j.ijhcs.2024.103220
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. https://doi.org/10.3758/s13428-022-02050-9
https://dspace.library.uu.nl/bitstream/handle/1874/437992/s13428-022-02050-9.pdf?sequence=1

2023

Scholarly publications

Van der Wal, O., Bachmann, D., Leidinger, A., van Maanen, L., Zuidema, W., & Schulz, K. (2023). Undesirable Biases in NLP: Addressing Challenges of Measurement. Journal of Artificial Intelligence Research, 79, 1-40.
Hogenboom, SAM., Schulz, K., & van Maanen, L. (2023). Implicit association tests: Stimuli validation from participant responses. British Journal of Social Psychology. Advance online publication. https://doi.org/10.1111/bjso.12688
Ferreira Couto, J., Lebreton, M., & van Maanen, L. (2023). Specificity and sensitivity of the fixed-point test for binary mixture distributions. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-023-02244-9
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
https://dspace.library.uu.nl/bitstream/handle/1874/435609/eScholarship_UC_item_828102w9.pdf?sequence=1
Kolvoort, I. R., Temme, N., & van Maanen, L. (2023). The Bayesian Mutation Sampler Explains Distributions of Causal Judgments. Open Mind, 7, 318-349. https://doi.org/10.1162/opmi_a_00080
https://dspace.library.uu.nl/bitstream/handle/1874/434456/opmi_a_00080.pdf?sequence=1
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. https://doi.org/10.3758/s13428-022-01837-0
https://dspace.library.uu.nl/bitstream/handle/1874/434455/s13428-022-01837-0.pdf?sequence=1
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. https://doi.org/10.1111/cogs.13234
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. https://doi.org/10.3389/frai.2022.1092053
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. https://doi.org/10.1016/j.cognition.2022.105150

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. https://doi.org/10.1111/tops.12614
https://dspace.library.uu.nl/bitstream/handle/1874/426050/Topics_in_Cognitive_Science_2022_Velde_Capturing_Dynamic_Performance_in_a_Cognitive_Model_Estimating_ACT_R_Memory.pdf?sequence=1
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. https://doi.org/10.1080/23273798.2021.1985151

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
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
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
Van Maanen, L., Portoles, O., & Borst, J. P. (2021). The Discovery and Interpretation of Evidence Accumulation Stages. Computational Brain & Behavior, 4(4), 395-415. https://doi.org/10.1007/s42113-021-00105-2
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. https://doi.org/10.1098/rsos.201844
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. https://doi.org/10.1162/jocn_a_01663
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. https://doi.org/10.3389/fpsyg.2020.608287
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)
https://dspace.library.uu.nl/bitstream/handle/1874/420249/A_Hidden_semi_Markov_model_classifier_for_strategy_detection_in_multiplication_problem_solving.pdf?sequence=1
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. https://doi.org/10.1080/23328940.2020.1776925
van Maanen, L., & Miletić, S. (2021). The interpretation of behavior-model correlations in unidentified cognitive models. Psychonomic Bulletin and Review, 28(2), 374–383. https://doi.org/10.3758/s13423-020-01783-y

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. https://doi.org/10.18148/sub/2020.v24i2.891
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. https://doi.org/10.3758/s13414-019-01806-4
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. https://doi.org/10.1371/journal.pone.0232385
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. https://doi.org/10.3758/s13423-019-01671-0
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. https://doi.org/10.1007/s42113-020-00074-y

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. https://doi.org/10.1016/j.jml.2019.05.004
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. https://doi.org/10.1016/j.cortex.2018.10.025
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. https://doi.org/10.1016/j.neuropsychologia.2018.12.009
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. https://doi.org/10.1080/02643294.2019.1610371
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. https://doi.org/10.1038/s41598-019-46073-3
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. https://doi.org/10.3758/s13428-018-1110-z
Miletić, S., & van Maanen, L. (2019). Caution in decision-making under time pressure is mediated by timing ability. Cognitive Psychology, 110, 16-29. https://doi.org/10.1016/j.cogpsych.2019.01.002
https://dspace.library.uu.nl/bitstream/handle/1874/408302/1_s2.0_S0010028518302445_main.pdf?sequence=1

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. https://doi.org/10.1016/j.jtbi.2018.07.002
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. https://doi.org/10.1038/s41598-018-33796-y

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. https://doi.org/10.1016/j.jmp.2016.01.001
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. https://doi.org/10.1016/j.jmp.2016.12.001
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. https://doi.org/10.1080/02643294.2017.1282447

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. https://doi.org/10.1038/nrn.2016.163
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. https://doi.org/10.3758/s13428-015-0563-6
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. https://doi.org/10.1111/tops.12182
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. https://doi.org/10.1016/j.cobeha.2016.07.007
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. https://doi.org/10.1371/journal.pone.0167377
Anders, R., Alario, F. X., & van Maanen, L. (2016). The shifted Wald distribution for response time data analysis. Psychological Methods, 21(3), 309-327. https://doi.org/10.1037/met0000066

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. https://doi.org/10.1016/j.cogpsych.2015.07.002
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. https://doi.org/10.1016/j.cobeha.2014.10.010
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. https://doi.org/10.1037/a0038894
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. https://doi.org/10.1002/hbm.22896

2014

Scholarly publications

Mulder, M. J., van Maanen, L., & Forstmann, B. U. (2014). Perceptual Decision Neurosciences - a Model-based Review. Neuroscience, 277, 872-884. https://doi.org/10.1016/j.neuroscience.2014.07.031
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. https://doi.org/10.1016/j.jmp.2014.09.006
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. https://doi.org/10.3758/s13423-013-0551-8
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. https://doi.org/10.1016/j.neuroimage.2014.03.063
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. https://doi.org/10.1371/journal.pone.0106113

2013

Scholarly publications

Mulder, M. J., & van Maanen, L. (2013). Are accuracy and reaction time affected via different processes? PLoS One, 8(11), e80222. https://doi.org/10.1371/journal.pone.0080222
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. https://doi.org/10.3758/s13414-013-0447-8

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. https://doi.org/10.3389/fnins.2012.00126
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. https://doi.org/10.1523/JNEUROSCI.0340-12.2012
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. https://doi.org/10.3389/fnins.2011.00143
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. https://doi.org/10.3758/s13414-011-0267-7

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. https://doi.org/10.1523/JNEUROSCI.2924-11.2011
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. https://doi.org/10.1111/j.1551-6709.2011.01213.x

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. https://doi.org/10.1016/j.cogsys.2008.08.002
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. https://doi.org/10.1111/j.1756-8765.2009.01069.x
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. https://doi.org/10.3758/PBR.16.6.987

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. https://doi.org/10.1109/ICSC.2008.27

2007

Scholarly publications

van Maanen, L., & van Rijn, H. (2007). An accumulator model of semantic interference. Cognitive Systems Research, 8(3), 174-181. https://doi.org/10.1016/j.cogsys.2007.05.002