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Results: 206
Number of items: 206
  • Ly, A., Böhm, U., Heathcote, A., Turner, B. M., Forstmann, B., Marsman, M., & Matzke, D. (2018). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 467-480). Wiley Blackwell. https://doi.org/10.1002/9781119159193.ch34
  • Open Access
    Isaacs, B. R., Forstmann, B. U., Temel, Y., & Keuken, M. C. (2018). The Connectivity Fingerprint of the Human Frontal Cortex, Subthalamic Nucleus, and Striatum. Frontiers in Neuroanatomy, 12, Article 60. https://doi.org/10.3389/fnana.2018.00060
  • Open Access
    Keuken, M. C., Isaacs, B. R., Trampel, R., van der Zwaag, W., & Forstmann, B. U. (2018). Visualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging. Brain Topography, 31(4), 513-545. https://doi.org/10.1007/s10548-018-0638-7
  • Open Access
    Alkemade, A., Groot, J. M., & Forstmann, B. U. (2018). Do We Need a Human post mortem Whole-Brain Anatomical Ground Truth in in vivo Magnetic Resonance Imaging? Frontiers in Neuroanatomy, 12, Article 110. https://doi.org/10.3389/fnana.2018.00110
  • Open Access
    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, Article 15854. https://doi.org/10.1038/s41598-018-33796-y
  • Open Access
    de Hollander, G. (2018). Understanding the human subcortex using ultra-high field MRI and computational cognitive models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sebastian, A., Forstmann, B. U., & Matzke, D. (2018). Towards a model-based cognitive neuroscience of stopping – a neuroimaging perspective. Neuroscience and Biobehavioral Reviews, 90, 130-136. https://doi.org/10.1016/j.neubiorev.2018.04.011
  • Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2017). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology, 76(Part B), 142-155. https://doi.org/10.1016/j.jmp.2016.06.007
  • Chambers, C. D., Forstmann, B., & Pruszynski, J. A. (2017). Registered reports at the European Journal of Neuroscience: consolidating and extending peer-reviewed study pre-registration. European Journal of Neuroscience, 45(5), 627-628. https://doi.org/10.1111/ejn.13519
  • Forstmann, B. U., & Alkemade, A. (2017). The Neuroanatomy and Neurochemistry of Response Inhibition. In T. Egner (Ed.), The Wiley Handbook of Cognitive Control (pp. 274-291). Wiley Blackwell. https://doi.org/10.1002/9781118920497.ch16
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