| Journal papers |
- Gillebert, C.,
Dyrholm, M., Vangkilde, S., Kyllingsbaek, S., Peeters, R., Vandenberghe, R. "Attentional priorities and access to short-term memory: parietal interactions",
Neuroimage, In Press
- Dyrholm, M.,
Kyllingsbaek, S., Espeseth, T., Bundesen, C. "Generalizing parametric models by
introducing trial-by-trial parameter variability: The case of TVA", Journal of
Mathematical Psychology, 55(6):416-429, 2011, 10.1016/j.jmp.2011.08.005
- 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., Kyllingsbaek,
S., Vangkilde, S., Habekost, T., Bundesen, C., “Single Trial Inference
on Visual Attention”, International Symposium on Computational
Models for Life Sciences, AIP Conference Proceedings Volume 1371, pp. 37-43, 2011
[pdf]
- Dyrholm, M., Sajda, P.,
“Discriminant Multitaper Component Analysis of EEG”,
International Symposium on Computational Models for Life Sciences, AIP Conference Proceedings Volume 1371, pp. 171-177, 2011
[pdf]
- 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]
|
| Book chapter |
- Sajda, P., Goldman, R., Dyrholm, M., Brown, T.,
“Signal Processing and Machine Learning for Single-trial Analysis of Simultaneously Acquired EEG and fMRI.
”, in K. Oweiss (Ed.), Statistical Signal Processing for Neuroscience and Neurotechnology, Academic Press, Elsevier, 2010
|
| PhD thesis |
|
|
| Technical reports |
- Dyrholm, M.,
A recursive algorithm for forming the
constrained elemental cardinality Power Set,
2009 [pdf]
|
|
