Search results
Results: 205
Number of items: 205
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Isaacs, B. R., Trutti, A. C., Pelzer, E., Tittgemeyer, M., Temel, Y., Forstmann, B. U., & Keuken, M. C. (2019). Cortico-basal white matter alterations occurring in Parkinson's disease. PLoS ONE, 14(8), Article e0214343. https://doi.org/10.1371/journal.pone.0214343 -
Csifcsák, G., Boayue, N. M., Aslaksen, P. M., Turi, Z., Antal, A., Groot, J., Hawkins, G. E., Forstmann, B. U., Opitz, A., Thielscher, A., & Mittner, M. (2019). Commentary: Transcranial stimulation of the frontal lobes increases propensity of mind-wandering without changing meta-awareness. Frontiers in Psychology, 10, Article 130. https://doi.org/10.3389/fpsyg.2019.00130 -
Alkemade, A., de Hollander, G., Miletic, S., Keuken, M. C., Balesar, R., de Boer, O., Swaab, D. F., & Forstmann, B. U. (2019). The functional microscopic neuroanatomy of the human subthalamic nucleus. Brain Structure and Function, 224(9), 3212-3227. https://doi.org/10.1007/s00429-019-01960-3 -
Trutti, A. C., Mulder, M. J., Hommel, B., & Forstmann, B. U. (2019). Functional neuroanatomical review of the ventral tegmental area. NeuroImage, 191, 258-268. https://doi.org/10.1016/j.neuroimage.2019.01.062 -
Chambers, C. D., Forstmann, B., & Pruszynski, J. A. (2019). Science in flux: Registered reports and beyond at the European Journal of Neuroscience. European Journal of Neuroscience, 49(1), 4-5. https://doi.org/10.1111/ejn.14319 -
Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2019). Modeling distracted performance. Cognitive Psychology, 112, 48-80. https://doi.org/10.1016/j.cogpsych.2019.05.002 -
Wisniewski, D., Forstmann, B., & Brass, M. (2019). Outcome contingency selectively affects the neural coding of outcomes but not of tasks. Scientific Reports, 9, Article 19395. https://doi.org/10.1038/s41598-019-55887-0 -
Alkemade, A., Kotz, S. A., Ott, D. V., Keuken, M. C., Schwarz, J., Weise, D., Schäfer, A., Forstmann, B. U., & de Hollander, G. (2018). Data from: Comparison of T2*-weighted and QSM contrasts in Parkinson's disease to visualize the STN with MRI [Data set]. DRYAD. https://doi.org/10.5061/dryad.t7kp7
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Turner, B. M., Miletić, S., & Forstmann, B. U. (2018). Outlook on deep neural networks in computational cognitive neuroscience. NeuroImage, 180(A), 117-118. https://doi.org/10.1016/j.neuroimage.2017.12.078
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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
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