Selected publications

  • Gross, J., Baillet, S., Barnes, G.R., Henson, R.N., Hillebrand, A., Jensen, O., Jerbi, K., Litvak, V., Maess, B., Oostenveld, R., Parkkonen, L., Taylor, J.R., van Wassenhove, V., Wibral, M., Schoffelen, J.-M., 2013. Good practice for conducting and reporting MEG research. Neuroimage 65, 349–363. doi:10.1016/j.neuroimage.2012.10.001

  • Hari, R., Henriksson, L., Malinen, S., Parkkonen, L., 2015. Centrality of Social Interaction in Human Brain Function. Neuron 88, 181–193. doi:10.1016/j.neuron.2015.09.022

  • Hari, R., Parkkonen, L., 2015. The brain timewise: how timing shapes and supports brain function. Philos. Trans. R. Soc. Lond., B, Biol. Sci. 370. doi:10.1098/rstb.2014.0170

  • Gramfort, A., Luessi, M., Larson, E., Engemann, D.A., Strohmeier, D., Brodbeck, C., Parkkonen, L., Hämäläinen, M.S., 2014. MNE software for processing MEG and EEG data. Neuroimage 86, 446–460. doi:10.1016/j.neuroimage.2013.10.027

  • Ramkumar, P., Jas, M., Pannasch, S., Hari, R., Parkkonen, L., 2013. Feature-Specific Information Processing Precedes Concerted Activation in Human Visual Cortex. J. Neurosci. 33, 7691–7699. doi:10.1523/JNEUROSCI.3905-12.2013

  • Salti, M., Monto, S., Charles, L., King, J.-R., Parkkonen, L., Dehaene, S., 2015. Distinct cortical codes and temporal dynamics for conscious and unconscious percepts. Elife 4. doi:10.7554/eLife.05652

  • Zhdanov, A., Nurminen, J., Baess, P., Hirvenkari, L., Jousmäki, V., Mäkelä, J.P., Mandel, A., Meronen, L., Hari, R., Parkkonen, L., 2015. An Internet-Based Real-Time Audiovisual Link for Dual MEG Recordings. PLoS ONE 10, e0128485. doi:10.1371/journal.pone.0128485

  • Parkkonen, L., 2015. Real-Time Magnetoencephalography for Neurofeedback and Closed-Loop Experiments, in: Kansaku, K., Cohen, L.G., Birbaumer, N. (Eds.), Clinical Systems Neuroscience. Springer Japan, Tokyo, pp. 315–330.

  • Parkkonen, L., Ilmoniemi, R., Lin, F.-H., Espy, M., 2014. Ultra-low-field MRI and its combination with MEG, in: Supek, S., Aine, C. (Eds.), Magnetoencephalography - From Signals to Dynamic Cortical Networks.

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