van Gaal, S., Lamme, V. A. F., Fahrenfort, J. J., & Ridderinkhof, K. R. (2011). Dissociable brain mechanisms underlying the conscious and unconscious control of behavior. Journal of Cognitive Neuroscience, 23(1), 91-105. https://doi.org/10.1162/jocn.2010.21431
Colzato, L. S., Slagter, H. A., de Rover, M., & Hommel, B. (2011). Dopamine and the management of attentional resources: genetic markers of striatal D2 dopamine predict individual differences in the attentional blink. Journal of Cognitive Neuroscience, 23(11), 3576-3585. https://doi.org/10.1162/jocn_a_00049
Stein, T., & Sterzer, P. (2011). High-level face shape adaptation depends on visual awareness: Evidence from continuous flash suppression . Journal of Vision, 11(8), Article 5. https://doi.org/10.1167/11.8.5
Knapen, T., Brascamp, J., Pearson, J., van Ee, R., & Blake, R. (2011). The role of frontal and parietal brain areas in bistable perception. The Journal of Neuroscience, 31(28), 10293-10301. https://doi.org/10.1523/JNEUROSCI.1727-11.2011
van Gaal, S., Scholte, H. S., Lamme, V. A. F., Fahrenfort, J. J., & Ridderinkhof, K. R. (2011). Pre-SMA gray-matter density predicts individual differences in action selection in the face of conscious and unconscious response conflict. Journal of Cognitive Neuroscience, 23(2), 382-390. https://doi.org/10.1162/jocn.2010.21444
de Lange, F. P., van Gaal, S., Lamme, V. A. F., & Dehaene, S. (2011). How awareness changes the relative weights of evidence during human decision-making. PLoS Biology, 9(11), Article e1001203. https://doi.org/10.1371/journal.pbio.1001203
Ghebreab, S., & Smeulders, A. W. M. (2011). Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets. Pattern Analysis and Applications, 14(2), 175-192. https://doi.org/10.1007/s10044-010-0186-6
van Wouwe, N. C., Ridderinkhof, K. R., van den Wildenberg, W. P. M., Band, G. P. H., Abisogun, A., Elias, W. J., Frysinger, R., & Wylie, S. A. (2011). Deep brain stimulation of the subthalamic nucleus improves reward-based decision-learning in Parkinson's disease. Frontiers in Human Neuroscience, 5, Article 30. https://doi.org/10.3389/fnhum.2011.00030
Heerebout, B. T. (2011). Getting emotional with evolutionary simulations: the origin of affective processing in artificial neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
van de Vijver, I., Ridderinkhof, K. R., & Cohen, M. X. (2011). Frontal oscillatory dynamics predict feedback learning and action adjustment. Journal of Cognitive Neuroscience, 23(12), 4106-4121. https://doi.org/10.1162/jocn_a_00110