Together with Simon van Gaal, I am co-PI in the Conscious Brain Lab. In our lab, we use EEG, fMRI and psychophysics to investigate the neural mechanisms involved in consciousness, with special emphasis on the contribution of decision making (confidence, metacognition), perception, attention and working memory to conscious experience. My current line of research explores the impact of perceptual bias and criterion setting on putative correlates of concious and unconscious processing. At the moment, the lab consists of 6 PhD students and a PostDoc.
Kloosterman, N. A., de Gee, J. W., Werkle-Bergner, M., Lindenberger, U., Garrett, D. D., & Fahrenfort, J. J. (2019). Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation. eLife, 8, 795.
Fahrenfort, J. J., van Driel, J., van Gaal, S., & Olivers, C. N. L. (2018). From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM). Frontiers in Neuroscience, 12.
Fahrenfort, J. J., van Leeuwen, J., Olivers, C. N. L., & Hogendoorn, H. (2017). Perceptual integration without conscious access. Proceedings of the National Academy of Sciences, 114(14), 3744–3749.
Fahrenfort, J. J., Snijders, T. M., Heinen, K., van Gaal, S., Scholte, H. S., & Lamme, V. A. F. (2012). Neuronal integration in visual cortex elevates face category tuning to conscious face perception. Proceedings of the National Academy of Sciences of the United States of America, 109(52), 21504–21509.
the Amsterdam Decoding and Modeling Toolbox
To support our own research and that of other research groups, I have developed a Matlab toolbox that allows one to easily perform multivariate analyses (MVPA) on EEG and MEG data, enabling one to determine and model the relationship between experimental conditions and multivariate brain data over time. A tutorial paper for the toolbox was recently published in Frontiers in Neuroscience. We have also recently developed a paper investigating the dangers of high-pass filtering when applied to EEG/MEG in the context of MVPA, and I am writing a tutorial paper explaining how to use the forward encoding model feature of the toolbox.
You can download the toolbox and play around with the software. Update regularly, the toolbox is constantly being updated. If you use the toolbox, please cite our Frontiers paper when using backward decoding or our Scientific Reports paper when using the forward encoding models.