| Email: | [initial].[lastname] [at] tilburguniversity.edu |
| Office: | D108, Dante Building, Tilburg University |
| Address: | Department of Cognitive Science and Artificial Intelligence |
| Tilburg University | |
| PO Box 90153 | |
| 5000 LE Tilburg | |
| The Netherlands |
About me
I’m an assistant professor at the department of Cognitive Science and AI of Tilburg University, PI of the Computational Psycholinguistics Lab. Before that I did my PhD and Postdoc in Shravan Vasishth’s lab, at the Department of Linguistics of University of Potsdam, Germany.
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[Twitter]
[Github]
[ORCID]
[OSF]
My Main Interests
Computational Cognitive Modeling
I study computational cognitive modeling of psycholinguistic phenomena, with some examples below:
Nicenboim, B. (2023). “The CoFI Reader: A Continuous Flow of Information approach to modeling reading.” In: MathPsych/ICCM/EMPG. University of Amsterdam, the Netherlands. [read]
Nicenboim, B. and S. Vasishth (2018). “Models of Retrieval in Sentence Comprehension: A computational evaluation using Bayesian hierarchical modeling.” In: Journal of Memory and Language, 99, pp. 1–34. ISSN: 0749-596X. DOI: 10.1016/j.jml.2017.08.004. [read]
I am also interested in broader aspects of computational modeling:
Dubova, M., S. Chandramouli, G. Gigerenzer, P. Grünwald, W. Holmes, T. Lombrozo, M. Marelli, S. Musslick, B. Nicenboim, L. N. Ross, et al. (2025). “Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony.” In: Proceedings of the National Academy of Sciences, 122(5), p. e2401230121. DOI: 10.1073/pnas.2401230121. [read]
I organized the Lorentz Centre “Cognitive Modeling of Complex Behavior” workshop in January 2024, along with Riccardo Fusaroli and Marieke van Vugt. This hands-on event focused on collaborative modeling of cognitive phenomena. See here.
I served as the local chair of the 57th Annual Meeting of the Society for Mathematical Psychology (MathPsych) and the 22nd International Conference on Cognitive Modeling (ICCM) 2024. (conference link).
EEG in Psycholinguistics
I also work with EEG in psycholinguistics:
I’m currently finishing a project focusing on self-paced EEG data for benchmarks and computational modeling in the context of an NWO Open Competition SGW XS grant.
K. Stone, B. Nicenboim, S. Vasishth, et al. “Understanding the effects of constraint and predictability in ERP.” In: Neurobiology of Language (Dec. 2022), pp. 1-71. DOI: 10.1162/nol_a_00094. [read]
B. Nicenboim, S. Vasishth, and F. Rösler. “Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data.” In: Neuropsychologia, 142 (2020), p. 107427. DOI: 10.1016/j.neuropsychologia.2020.107427. [read]
I also developed an R package for EEG data manipulation: eeguana.
Bayesian Statistics
Bayesian statistics provides a powerful framework for cognitive science by allowing principled uncertainty quantification and hierarchical modeling. I mostly work with Stan (and brms):
Bayesian Statistics for Cognitive Scientists (in progress), co-authored with Shravan Vasishth and Daniel Schad.
Stan for Cognitive Science: A resource hub for Bayesian modeling with Stan.
Data and Code
Most of the data and code from my published papers are available on the OSF website, with some exceptions in my GitHub repository.
News
- A new recurring meeting on computational psycholinguistics, co-organized with Jakub Dotlačil, Lena Jäger, and me, will take place in Utrecht on December 18–19, 2025. More details on the official website.