Search results
Results: 205
Number of items: 205
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Forstmann, B. U., Keuken, M. C., Schafer, A., Bazin, P.-L., Alkemade, A., & Turner, R. (2014). Multi-modal ultra-high resolution structural 7-Tesla MRI data repository. Scientific Data, 1, Article 140050. https://doi.org/10.1038/sdata.2014.50 -
Mittner, M., Boekel, W., Tucker, A. M., Turner, B. M., Heathcote, A., & Forstmann, B. U. (2014). When the brain takes a break: A model-based analysis of mind wandering. The Journal of Neuroscience, 34(49), 16286-16295. https://doi.org/10.1523/JNEUROSCI.2062-14.2014 -
de Hollander, G., Wagenmakers, E.-J., Waldorp, L., & Forstmann, B. (2014). An antidote to the imager's fallacy, or how to identify brain areas that are in limbo. PLoS ONE, 9(12), Article e115700. https://doi.org/10.1371/journal.pone.0115700 -
Keuken, M. C., Bazin, P.-L., Crown, L., Hootsmans, J., Laufer, A., Müller-Axt, C., Sier, R., van der Putten, E. J., Schäfer, A., Turner, R., & Forstmann, B. U. (2014). Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI. NeuroImage, 94(1), 40-46. https://doi.org/10.1016/j.neuroimage.2014.03.032 -
Turner, B. M., Forstmann, B. U., Wagenmakers, E.-J., Brown, S. D., Sederberg, P. B., & Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206. https://doi.org/10.1016/j.neuroimage.2013.01.048
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Mulder, M. J., Keuken, M. C., van Maanen, L., Boekel, W. E., Forstmann, B. U., & Wagenmakers, E. J. (2013). The speed and accuracy of perceptual decisions in a random-tone pitch task. Attention, Perception & Psychophysics, 75(5), 1048-1058. https://doi.org/10.3758/s13414-013-0447-8
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Dutilh, G., Forstmann, B., Vandekerckhove, J., & Wagenmakers, E.-J. (2013). A diffusion model account of age differences in post-error slowing. Psychology and Aging, 28(1), 64-76. https://doi.org/10.1037/a0029875
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Keuken, M. C., Bazin, P.-L., Schäfer, A., Neumann, J., Turner, R., & Forstmann, B. U. (2013). Ultra-high 7T MRI of structural age-related changes of the subthalamic nucleus. The Journal of Neuroscience, 33(11), 4896-4900. https://doi.org/10.1523/JNEUROSCI.3241-12.2013
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