Mads Dyrholm, PhD

post.doc.

 Center for Visual Cognition,
Department of Psychology,
University of Copenhagen




My son Otto making and eating svensk poelseret


Contact


email: mads.dyrholm@psy.ku.dk
phone: (+45) 35 32 48 98

Publications

Journal papers
  • Dyrholm, M., Goldman, R., Sajda, P., Brown, T. R., "Removal of BCG artifacts using a non-Kirchhoffian overcomplete representation", IEEE Transactions on Biomedical Engineering (Letters), vol. 56, no.2, February 2009 [pdf]

  • Parra , L. C., Christoforou, C., Gerson, A. D., Dyrholm, M., Luo, A., Wagner, M., Philiastides, M. G., Sajda, P., "Spatio-temporal linear decoding of brain state: Application to performance augmentation in high-throughput tasks", IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 95-115, January 2008 [pdf]

  • Dyrholm, M., Christoforou, C., Parra, L. C., “Bilinear Discriminant Component Analysis”, Journal of Machine Learning Research, 8(May):1097-1111, 2007 [pdf] [errata]

  • Dyrholm, M., Makeig, S., Hansen, L. K., “Model selection for convolutive ICA with an application to spatio-temporal Analysis of EEG”, Neural Computation, 19(4):934-955, 2007 [pdf]
Refereed conference papers in proceedings
  • Dyrholm, M., Parra, L. C., “Smooth bilinear classification of EEG”, In proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, August 2006 [pdf]

  • Dyrholm, M., Makeig, S., Hansen, L. K., “Model structure selection in convolutive mixtures”, Independent Component Analysis and Blind Signal Separation, Springer LNCS vol. 3889, pp. 74-81, 2006 [details & pdf]

  • Dyrholm, M., Hansen, L. K., “CICAAR: Convolutive ICA with an Auto-Regressive Inverse Model”, Independent Component Analysis and Blind Signal Separation, Springer LNCS vol. 3195, pp. 594-601, 2004 [details & pdf] [sound demo]

  • Pontoppidan, N. H., Dyrholm, M., “Fast Monaural Separation of Speech”, AES 23rd International Conference, Signal Processing in Audio Recording and Reproduction., 2003 [details] 

  • Hansen, L. K., Dyrholm, M., “A prediction matrix approach to convolutive ICA”, Proceedings of IEEE Workshop on Neural Networks for Signal Processing XIII Toulouse, France, Sept. 17-19, 2003, pp. 249-258, 2003 [details & pdf]
Abstracts and posters
  • Dyrholm, M., Philiastides, M.G., Goldman, R., Brown, T., Sajda, P.,Decoding fMRI with temporal integration: Learning the hemodynamical response function”, SFN2007 [poster pdf]

  • Dyrholm, M., Goldman, R., Philiastides, M., Wei, C., Brown, T., Sajda, P.,Bilinear discriminant analysis for ICA component selection in EEG”, HBM2007 [pdf]

  • Dyrholm, M., Hansen, L. K., Wang, L., Arendt-Nielsen, L., Chen, A. C., “Convolutive ICA (c-ICA) captures complex spatio-temporal EEG activity”, 10th annual meeting of the organization for human brain mapping, 2004 [details] [pdf]
PhD thesis
Technical reports
  • Dyrholm, M., A recursive algorithm for forming the constrained elemental cardinality Power Set, 2009 [pdf]

Software and open source initiatives

  • CICAAR - an algorithm for convolutive ICA - [link]
  • BDCA - An algorithm for classification of EEG - [link]
  • fMRIpod - single-trial classification analysis of fMRI - [link]
  • NeuroClub - EEG signal processing and 3D reconstruction - [link]

Computational Music

Backtrace

  • Back in the day I was a small student at Technical University of Denmark and carried out my graduate studies under supervision of professor Lars Kai Hansen
  • I was also a postdoc at City College of the City University of New York. Working with professor Lucas C. Parra
  • I was also a postdoc at Columbia University in New York. Working with professor Paul Sajda
  • I was also postdoc at Technical University of Denmark, working with professor Lars Kai Hansen