Coming up
  • de Hollander, G., van Maanen, L., Keuken, Trampel, R., M.C., Forstmann, B.U. The Role of the Subthalamic Nucleus in Perceptual Decision-Making and Value-based choice biases: a Model-based Neuroimaging Study (in preparation)
  • Alkemade, A.*, de Hollander, G.*, Keuken, M.C., Balesar, R., Swaab, D.F., Forstmann, B.U. The functional neuroanatomy of the human subthalamic nucleus (submitted)
  • Salzer, Y.,  de Hollander, G., van Maanen, L., Forstmann, B.U. Neural feature representation accounts for errors in the Simon task: an fMRI model-based study (in preparation)

  • Alkemade, A., de Hollander, G., Keuken, M. C., Schäfer, A., Ott, D. V. M., Schwarz, J., et al. Comparison of T2*-weighted and QSM contrasts in Parkinson’s disease to visualize the STN with MRI. PLoS ONE, 12(4), e0176130 (2017,pdf).
  • de Hollander, G., Keuken, M.C., van der Zwaag, W., Forstmann, B.U., Trampel, R. Comparing Functional MRI Protocols for Small, Iron-Rich Basal Ganglia Nuclei Such as the Subthalamic Nucleus at 7 T and 3 T Human Brain Mapping (2017, pdf)
  • Salzer, Y., de Hollander, G., & Forstmann, B. U. Sensory neural pathways revisited to unravel the temporal dynamics of the Simon effect: A model-based cognitive neuroscience approach. Neuroscience & Biobehavioral Review (2017, pdf)
  • Forstmann, B. U., de Hollander, G., van Maanen, L., Alkemade, A., & Keuken, M. C. Towards a mechanistic understanding of the human subcortex. Nature Reviews Neuroscience, 18(1), 57–65. (2017, pdf)


  • de Hollander, G., Labruna, L., Sellaro, R., Trutti, A., Colzato, L., Ratcliff, R., Ivry, R.B., Forstmann, B.U. Transcranial direct current stimulation does not influence the speed-accuracy tradeoff in perceptual decision-making: Evidence from three independent replication studies. Journal of Cognitive Neuroscience (2016, pdf, github)
  • de Hollander, G. Combining computational models of cognition and neural data to learn about mixed task strategies. Journal of Neuroscience (2016, pdf
  • de Hollander, G., Forstmann, B. U., & Brown, S. D. Different ways of linking behavioral and neural data via computational cognitive models. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1 (2), 101-109 (2016, pdf)


  • Karayanidis, F., Keuken, M.C., Wong, A., Rennie, J., de Hollander, G., Cooper, P, W Fulham, W., Lenroot, R., Parsons, M., Phillips, N., Michie, P., Forstman, B.U. The Age-ility Project (Phase 1): Structural and functional imaging data repository. NeuroImage, 1–16. doi:10.1016/j.neuroimage.2015.04.047 (2015, pdf)
  • de Hollander, G.*, Keuken, M. C.*, & Forstmann, B. U. The Subcortical Cocktail Problem; Mixed Signals from the Subthalamic Nucleus and Substantia Nigra. PLoS ONE, 10(3), e0120572. doi:10.1371/journal.pone.0120572.t00 (2015, pdf)
  • de Hollander, G., Wagenmakers, E.J., Waldorp, L. J., Forstmann, B. U., An antidote to the imager’s fallacy, or how to identify brain areas that are in limbo. PLOS ONE. doi:10.1371/journal.pone.01157005 (2014, pdf).
  • de Hollander, G.*, Keuken, M. C.*, Bazin, P.-L., Weiss, M., Neumann, J., Reimann, K., Wähnert, M., Turner, R., Forstmann, B. U. and Schäfer, A., A gradual increase of iron toward the medial-inferior tip of the subthalamic nucleus. Human Brain Mapping doi: 10.1002/hbm.22485 (2014, pdf)
  • de Hollander, G., Marx, M. Summarization of meetings using word clouds. Computer Science and Software Engineering (CSSE), 2011 CSI (2011, pdf)
  • Zwinkels, T.; de Hollander, G.; Aizenberg, T., Knowledge in Connection: A Cognitively Grounded Social Research Approach to Understanding Change in People’s Knowledge Representations During Social Interaction. International Journal of Interdisciplinary Social Sciences, Volume 3, Issue 7, pp.71-78. (2008, pdf)


  • de Hollander, G., Forstmann, B.U., Brown, S.D. Explicit modeling of the hemodynamic response function in linking cognitive computational models to fMRI data (2015, pdf).
  • de Hollander, G., Keuken, M.C., Trampel, R., Forstmann B.U. Optimizing functional MRI sequences at 7 Tesla for subcortical nuclei (2015, pdf).
  • de Hollander, G., Wagenmakers, E.J., Waldorp, L., Forstmann, B.U. An antidote to the imager’s fallacy, or how to identify brain areas that are in limbo. Presented at Human Brain Mapping (2014, pdf).
  • de Hollander, G., Keuken, M.C., Bazin, P.-L., Weiss, M., Neumann, J., Reimann, K., Wahnert, M., Turner, R., Forstmann, B.U., Schafer, A. Iron gradients in the subthalamic nucleus in the in-vivo and postmortem brain. Presented at SFN (2013, pdf).
  • The Simon Task modeled with a Fast-Guess proces. The 49th Annual Meeting of the Society for Mathematical Psychology (New Brunswick, New Jersey, USA. 6 August 2016)
  • Connecting the dots: Linking brain and behavior in perceptual decision making Australian Mathematical Psychology Conference (Newcastle, New South Wales, Australia, 12 February 2015)
  • Large cortical networks in small subcortical nuclei? Decision Making Bristol (14 september 2014, Bristol, United Kingdom).
  • Large cortical networks in small subcortical nuclei? Amsterdam Brain and Cognition opening event (19 june 2014, Amsterdam, the Netherlands).
  • In Limbo: identifying regions that are too close to call. Presented at minisymposium “Data analysis and statistics” at SFN  (11 november 2013, San Diego, California, United States ; slides).

* equal contribution(s)

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