Publikationen von Prof. Dr. Matthias Krauledat

  • B. Blankertz, M. Tangermann, F. Popescu, M. Krauledat, S. Fazli, M. Donaczy, G. Curio, and K.-R. Müller, "The Berlin Brain-Computer Interface", in: B. Graimann and G. Pfurtscheller, eds., Non-Invasive and Invasive Brain-Computer Interfaces, Springer, The Frontiers Collection, 2008.
  • B. Blankertz, G. Dornhege, M. Krauledat, V. Kunzmann, F. Losch, G. Curio, and K.-R. Müller, "The Berlin Brain-Computer Interface: Machine-Learning based Detection of User Specific Brain States", in: G. Dornhege, J. del R. Millan, T. Hinterberger, D. McFarland, and K.-R. Müller, eds., Toward Brain-Computer Interfacing, 85-101, MIT press, Cambridge, MA, 2007.
  • B. Blankertz, G. Dornhege, M. Krauledat, K.-R. Müller, and G. Curio, "The Berlin Brain-Computer Interface: Report from the Feedback Sessions", Tech. Rep. 1, Fraunhofer FIRST, 2005.
  • B. Blankertz, G. Dornhege, M. Krauledat, K.-R. Müller, and G. Curio, "The non-invasive Berlin Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained Subjects", NeuroImage, 37(2): 539-550, 2007, URL http://dx.doi.org/10.1016/j.neuroimage.2007.01.051.
  • B. Blankertz, G. Dornhege, M. Krauledat, K.-R. Müller, V. Kunzmann, F. Losch, and G. Curio, "The Berlin Brain-Computer Interface: EEG-based communication without subject training", IEEE Trans Neural Sys Rehab Eng, 14(2): 147-152, 2006, URL http://dx.doi.org/10.1109/TNSRE.2006.875557.
  • B. Blankertz, G. Dornhege, M. Krauledat, M. Schröder, J. Williamson, R. Murray-Smith, and K.-R. Müller, "The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell", in: Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, 108-109, Verlag der Technischen Universität Graz, 2006.
  • B. Blankertz, G. Dornhege, S. Lemm, M. Krauledat, G. Curio, and K.-R. Müller, "The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States", J Universal Computer Sci, 12(6): 581-607, 2006.
  • B. Blankertz, M. Krauledat, G. Dornhege, J. Williamson, R. Murray-Smith, and K.-R. Müller, "A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface", in: C. Stephanidis, ed., Universal Access in HCI, Part II, HCII 2007, vol. 4555 of LNCS, 759-768, Springer, Berlin Heidelberg, 2007.
  • B. Blankertz, F. Losch, M. Krauledat, G. Dornhege, G. Curio, and K.-R. Müller, "The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects", IEEE Trans Biomed Eng, 2008.
  • G. Dornhege, B. Blankertz, M. Krauledat, F. Losch, G. Curio, and K.-R. Müller, "Optimizing spatio-temporal filters for improving Brain-Computer Interfacing", in: Advances in Neural Inf. Proc. Systems (NIPS 05), vol. 18, 315-322, MIT Press, Cambridge, MA, 2006.
  • G. Dornhege, B. Blankertz, M. Krauledat, F. Losch, G. Curio, and K.-R. Müller, "Combined optimization of spatial and temporal filters for improving Brain-Computer Interfacing", IEEE Trans Biomed Eng, 53(11): 2274-2281, 2006, URL http://dx.doi.org/10.1109/TBME.2006.883649
  • G. Dornhege, M. Krauledat, K.-R. Müller, and B. Blankertz, "General signal processing and machine learning tools for BCI", in: G. Dornhege, J. del R. Millan, T. Hinterberger, D. McFarland, and K.-R. Müller, eds., Toward Brain-Computer Interfacing, 207-233, MIT Press, Cambridge, MA, 2007.
  • M. Kawanabe, M. Krauledat, and B. Blankertz, "A Bayesian Approach for Adaptive BCI Classification", in: Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, 54-55, Verlag der Technischen Universität Graz, 2006.
  • D. Keller, M. Krauledat, and J. Scheel, "Feasibility study to support a threshold of sensitization concern concept in risk assessment based on human data", Archives of Toxicology, 83(12): 1049-1060, 2008, URL http://dx.doi.org/10.1007/s00204-009-0460-9.
  • M. Krauledat, B. Blankertz, G. Dornhege, M. Schröder, G. Curio, and K.-R. Müller, "Online differentiation of neuroelectric activities: algorithms and applications", in: Proceedings of the 28th Annual International Conference IEEE EMBS on Biomedicine, New York City, 2006.
  • M. Krauledat, G. Dornhege, B. Blankertz, G. Curio, and K.-R. Müller, "The Berlin Brain-Computer Interface For Rapid Response", Biomed Tech, 49(1): 61-62, 2004.
  • M. Krauledat, G. Dornhege, B. Blankertz, F. Losch, G. Curio, and K.-R. Müller, "Improving Speed And Accuracy Of Brain-Computer Interfaces Using Readiness Potential Features", in: Conf Proc IEEE Eng Med Biol Soc, vol. 4, 4511-4515, 2004, URL http://dx.doi.org/10.1109/IEMBS.2004.1404253.
  • M. Krauledat, G. Dornhege, B. Blankertz, and K.-R. Müller, "Robustifying EEG data analysis by removing outliers", Chaos and Complexity Letters, 2(3): 259-274, 2007.
  • M. Krauledat, F. Losch, and G. Curio, "Brain State Differences Between Calibration And Application Session Influence BCI Classification Accuracy", in: Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, 60-61, Verlag der Technischen Universität Graz, 2006.
  • M. Krauledat, M. Schröder, B. Blankertz, and K.-R. Müller, "Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach", in: B. Schölkopf, J. Platt, and T. Hoffman, eds., Advances in Neural Information Processing Systems 19, 753-760, MIT Press, Cambridge, MA, 2007.
  • M. Krauledat, P. Shenoy, B. Blankertz, R. P. N. Rao, and K.-R. Müller, "Adaptation in CSP-based BCI systems", in: G. Dornhege, J. del R. Millan, T. Hinterberger, D. McFarland, and K.-R. Müller, eds., Toward Brain-Computer Interfacing, 305-309, MIT Press, Cambridge, MA, 2007.
  • M. Krauledat, Analysis of Nonstationarities in EEG signals for improving Brain-Computer Interface performance, Ph.D. thesis, Technische Universität Berlin, Fakultät IV - Elektrotechnik und Informatik, 2008.
  • M. Krauledat, M. Tangermann, B. Blankertz, and K.-R. Müller, "Towards Zero Training for Brain-Computer Interfacing", PLoS ONE, 3(8): e2967, 2008, URL http://dx.doi.org/10.1371/journal.pone.0002967.
  • K.-R. Müller, M. Krauledat, G. Dornhege, G. Curio, and B. Blankertz, "Machine learning techniques for Brain-Computer Interfaces", Biomed Tech, 49(1): 11-22, 2004.
  • K.-R. Müller, M. Krauledat, G. Dornhege, G. Curio, and B. Blankertz, "Machine Learning and Applications for Brain-Computer Interfacing", in: M. J. Smith and G. Salvendy, eds., Human Interface, Part I, HCII 2007, vol. 4557 of LNCS, 705-714, Springer, Berlin Heidelberg, 2007.
  • K.-R. Müller, M. Krauledat, G. Dornhege, S. Jähnichen, G. Curio, and B. Blankertz, "A note on the Berlin Brain-Computer Interface", in: G. Hommel and S. Huanye, eds., Human Interaction with Machines: Proceedings of the 6th International Workshop held at the Shanghai Jiao Tong University, 51-60, 2006.
  • K.-R. Müller, M. Tangermann, G. Dornhege, M. Krauledat, G. Curio, and B. Blankertz, "Machine learning for real-time singletrial EEG-analysis: From brain-computer interfacing to mental state monitoring", J Neurosci Methods, 167(1): 82-90, 2008, URL http://dx.doi.org/10.1016/j.jneumeth.2007.09.0221.
  • P. Shenoy, M. Krauledat, B. Blankertz, R. P. N. Rao, and K.-R. Müller, "Towards Adaptive Classification for BCI", J Neural Eng, 3(1): R13-R23, 2006, URL http://dx.doi.org/10.1088/1741-2560/3/1/R02.
  • M. Sugiyama, B. Blankertz, M. Krauledat, G. Dornhege, and K.-R. Müller, "Importance-Weighted Cross-Validation for Covariate Shift", in: Proc. DAGM, LNCS 4174, 354-363, Springer-Verlag, 2006.
  • M. Sugiyama, M. Krauledat, and K.-R. Müller, "Covariate Shift Adaptation by Importance Weighted Cross Validation", Journal of Machine Learning Research, 8: 1027-1061, 2007.
  • M. Tangermann, M. Krauledat, K. Grzeska, M. Sagebaum, B. Blankertz, C. Vidaurre, and K.-R. Müller, "Playing Pinball with non-invasive BCI", in: D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, eds., Advances in Neural Inf. Proc. Systems (NIPS 08), vol. 21, 1641-1648, 2009.
  • J. Williamson, R. Murray-Smith, B. Blankertz, M. Krauledat, and K.-R. Müller, "Designing for uncertain, asymmetric control: Interaction design for braincomputer interfaces", International Journal of Human-Computer Studies, 67(10): 827-841, 2009.