Publications

Scharnowski F, Koush Y, Elliott MA, Mathiak K. Comparison of real-time water proton spectroscopy and echo-planar imaging sensitivity to the BOLD effect at 3 T and at 7 T. PLoS ONE. 2014 Apr 10;9(3):e91620. doi: 10.1371/journal.pone.0091620

Scharnowski F, Rosa MJ, Golestani N, Hutton C, Josephs O, Weiskopf N et al. Connectivity changes underlying neurofeedback training of visual cortex activity. PLoS ONE. 2014 Mär 7;9(3): e91090. doi: 10.1371/journal.pone.0091090

Bauernfeind G, Pokorny C, Steyrl D, Wriessnegger S, Pichler G, Schippinger W et al. Improved Classification of Auditory Evoked Event-Related Potentials. in Müller-Putz G, Hrsg., Proceedings of the 6th International Brain-Computer Interface Conference 2014: the future of brain-computer interaction: basics, shortcomings, users ; September 16 - 19, 2014, Graz University of Technology, Austria. Graz: Verlag der Technischen Universität Graz. 2014 doi: 10.3217/978-3-85125-378-8-62

Müller-Putz G, (ed.), Bauernfeind G, (ed.), Brunner C, (ed.), Steyrl D, (ed.), Wriessnegger S, (ed.), Scherer R, (ed.). Proceedings of the 6th International Brain-Computer Interface Conference 2014. Graz: Verlag der Technischen Universität Graz, 2014. 407 S. doi: 10.3217/978-3-85125-378-8

Steyrl D, Wriessnegger SC, Müller-Putz GR. Single Trial Motor Imagery Classification in EEG Measured During FMRI Image Acquisition - A First Glance. Biomedical Engineering / Biomedizinische Technik. 2013 Sep;58(Suppl 1):000010151520134450. doi: 10.1515/bmt-2013-4450

Sulzer J, Haller S, Scharnowski F, Weiskopf N, Birbaumer N, Blefari ML et al. Real-time fMRI neurofeedback: progress and challenges. NeuroImage. 2013 Aug 1;76:386-399. doi: 10.1016/j.neuroimage.2013.03.033

Scharnowski F, Koush Y, Rosa MJ, Robineau F, Heinen K, Rieger SW et al. Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI. NeuroImage. 2013;81:422-430. doi: 10.1016/j.neuroimage.2013.05.010

Scharnowski F, Haller S, Kopel R, Jhooti P, Haas T, Lovblad KO et al. Dynamic reconfiguration of human brain functional networks through neurofeedback. NeuroImage. 2013;81:243-252. doi: 10.1016/j.neuroimage.2013.05.019

Steyrl D, Scherer R, Müller-Putz GR. Random forests for feature selection in non-invasive brain-computer interfacing. in Holzinger A, Pasi G, Hrsg., Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. Berlin: Springer-Verlag Berlin-Heidelberg. 2013. S. 207-216 doi: 10.1007/978-3-642-39146-0_19

Scharnowski F, Koush Y, Elliott MA, Mathiak K. Real-time automated spectral assessment of the BOLD response for neurofeedback at 3 and 7T. Journal of Neuroscience Methods. 2013;218(2):148-160. doi: 10.1016/j.jneumeth.2013.05.002

Steyrl D. Single trial Motor Imagery classification in EEG measured during fMRI image acquisition – a first glance. 2013. doi: 10.13140/RG.2.2.20464.28163

Scharnowski F, Rees G, Walsh V. Time and the brain: Neurorelativity. The chronoarchitecture of the brain from the neuronal rather than the observer's perspective. Trends in Cognitive Sciences. 2013;17(2):51-52. doi: 10.1016/j.tics.2012.12.005

Scharnowski F, Grainger JE, Schmidt T, Herzog MH. Two primes priming: does feature integration occur before response activation? Journal of Vision. 2013;13:19. doi: 10.1167/13.8.19

Steyrl D, Scherer R, Förstner O, Müller-Putz G. Using random forests for classifying motor imagery EEG: Random Forests vs Regularized LDA - Non-linear Beats Linear. in Müller-Putz G, Hrsg., Proceedings of the 6th International Brain-Computer Interface Conference 2014: the future of brain-computer interaction: basics, shortcomings, users ; September 16 - 19, 2014, Graz University of Technology, Austria. Graz: Verlag der Technischen Universität Graz. 2013. S. 252-255 doi: 10.3217/978-3-85125-378-8-61

Scharnowski F, Hutton C, Josephs O, Weiskopf N, Rees G. Improving visual perception through neurofeedback. Journal of Neuroscience. 2012;32(49):17830-17841. doi: 10.1523/jneurosci.6334-11.2012

Steyrl D. On the suitability of random forests for detecting mental imagery for non-invasive brain-computer interfacing. 2012.

Scharnowski F, Hermens F, Herzog MH. Automatic grouping of regular structures. Journal of Vision. 2010;10:5. doi: 10.1167/10.8.5

Scharnowski F, Mathiak K, Weiskopf N. Echtzeit-fMRT. Klinische Neurophysiologie. 2009;40(4):214-221. doi: 10.1055/s-0029-1242755

Scharnowski F, Rüter J, Jolij J, Hermens F, Kammer T, Herzog MH. Long-lasting modulation of feature integration by transcranial magnetic stimulation. Journal of Vision. 2009;9:1. doi: 10.1167/9.6.1

Scharnowski F, Hermens F, Herzog MH. Spatial grouping determines temporal integration. Journal of Experimental Psychology: Human Perception and Performance. 2009;35(3):595–610. doi: 10.1037/a0013706

Scharnowski F, Hermens F, Herzog MH. Bloch's law and the dynamics of feature fusion. Vision Research. 2007;47(18):2444-2452. doi: 10.1016/j.visres.2007.05.004

Scharnowski F, Hermens F, Kammer T, Ögmen H, Herzog MH. Feature fusion reveals slow and fast visual memories. Journal of Cognitive Neuroscience. 2007;19(4):632-641. doi: 10.1162/jocn.2007.19.4.632

Scharnowski F, Herzog MH, Hermens F. Long lasting effects of unmasking in a feature fusion paradigm. Psychological Research. 2007;71:653–658. doi: 10.1007/s00426-006-0062-6

Scharnowski F, Weiskopf N, Sitaram R, Josephs O, Veit R, Goebel R et al. Real-time functional magnetic resonance imaging: methods and applications. Magnetic resonance imaging. 2007;25(6):989-1003. doi: 10.1016/j.mri.2007.02.007

Franz VH, Scharnowski F, Gegenfurtner KR. Illusion effects on grasping are temporally constant not dynamic. Journal of Experimental Psychology: Human Perception and Performance. 2005;31(6):1359-78. doi: 10.1037/0096-1523.31.6.1359

Scharnowski F, Weiskopf N, Mathiak K, Bock SW, Veit R, Grodd W et al. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 2004;51(6):966-970. doi: 10.1109/tbme.2004.827063

Scharnowski F, Weiskopf N, Veit R, Goebel R, Birbaumer N, Mathiak K. Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI). Journal of Physiology (Paris). 2004;98(4-6):357-373. doi: 10.1016/j.jphysparis.2005.09.019

Kammer T, Scharnowski F, Herzog MH. Combining backward masking and transcranial magnetic stimulation in human observers. Neuroscience Letters. 2003 Jun 12;343(3):171-174. doi: 10.1016/s0304-3940(03)00376-8

Franz VH, Scharnowski F. Grasp effects of visual illusions: Dynamic or stationary? Journal of Vision. 2003;3:127. doi: 10.1167/3.9.127