Search results
Results: 144
Number of items: 144
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Visser, R. M., de Haan, M. I. C., Beemsterboer, T., Haver, P., Kindt, M., & Scholte, H. S. (2016). Quantifying learning‐dependent changes in the brain: Single trial multivoxel pattern analysis requires slow event related fMRI. Psychophysiology, 53(8), 1117-1127. https://doi.org/10.1111/psyp.12665 -
Visser, R. M., Haver, P., Zwitser, R. J., Scholte, H. S., & Kindt, M. (2016). First steps in using multi-voxel pattern analysis to disentangle neural processes underlying generalization of spider fear. Frontiers in Human Neuroscience, 10, Article 222. https://doi.org/10.3389/fnhum.2016.00222 -
Tamboer, P., Vorst, H. C. M., Ghebreab, S., & Scholte, H. S. (2016). Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia. NeuroImage: Clinical, 11, 508-514. https://doi.org/10.1016/j.nicl.2016.03.014 -
Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2016). The time course of natural scene perception with reduced attention. Journal of Neurophysiology, 115(2), 931-946. https://doi.org/10.1152/jn.00896.2015 -
Rouw, R., & Scholte, H. S. (2016). Personality and cognitive profiles of a general synesthetic trait. Neuropsychologia, 88, 35-48. https://doi.org/10.1016/j.neuropsychologia.2016.01.006 -
Jahfari, S., Waldorp, L., Ridderinkhof, K. R., & Scholte, H. S. (2015). Visual information shapes the dynamics of corticobasal ganglia pathways during response selection and inhibition. Journal of Cognitive Neuroscience, 27(7), 1344-1359. https://doi.org/10.1162/jocn_a_00792 -
Tamboer, P., Scholte, H. S., & Vorst, H. C. M. (2015). Dyslexia and voxel-based morphometry: correlations between five behavioural measures of dyslexia and gray and white matter volumes. Annals of Dyslexia, 65(3), 121-141. https://doi.org/10.1007/s11881-015-0102-2 -
de Dreu, C. K. W., Scholte, H. S., van Winden, F. A. A. M., & Ridderinkhof, K. R. (2015). Oxytocin tempers calculated greed but not impulsive defense in predator-prey contests. Social Cognitive and Affective Neuroscience, 10(5), 721-728. https://doi.org/10.1093/scan/nsu109 -
Visser, R. M., Kunze, A. E., Westhoff, B., Scholte, H. S., & Kindt, M. (2015). Representational similarity analysis offers a preview of the noradrenergic modulation of long-term fear memory at the time of encoding. Psychoneuroendocrinology, 55, 8-20. https://doi.org/10.1016/j.psyneuen.2015.01.021
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