How to smooth your fMRI data? A comparison between Gaussian and adaptive smoothing
- Author
- Marijke Welvaert (UGent) , Yves Rosseel (UGent) and Karsten Tabelow
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-3081768
- MLA
- Welvaert, Marijke, et al. “How to Smooth Your FMRI Data? A Comparison between Gaussian and Adaptive Smoothing.” 18th Annual Meeting of the Organization for Human Brain Mapping, Abstracts, 2012.
- APA
- Welvaert, M., Rosseel, Y., & Tabelow, K. (2012). How to smooth your fMRI data? A comparison between Gaussian and adaptive smoothing. 18th Annual Meeting of the Organization for Human Brain Mapping, Abstracts. Presented at the 18th Annual Meeting of the Organization for Human Brain Mapping, Beijing, China.
- Chicago author-date
- Welvaert, Marijke, Yves Rosseel, and Karsten Tabelow. 2012. “How to Smooth Your FMRI Data? A Comparison between Gaussian and Adaptive Smoothing.” In 18th Annual Meeting of the Organization for Human Brain Mapping, Abstracts.
- Chicago author-date (all authors)
- Welvaert, Marijke, Yves Rosseel, and Karsten Tabelow. 2012. “How to Smooth Your FMRI Data? A Comparison between Gaussian and Adaptive Smoothing.” In 18th Annual Meeting of the Organization for Human Brain Mapping, Abstracts.
- Vancouver
- 1.Welvaert M, Rosseel Y, Tabelow K. How to smooth your fMRI data? A comparison between Gaussian and adaptive smoothing. In: 18th Annual Meeting of the Organization for Human Brain Mapping, Abstracts. 2012.
- IEEE
- [1]M. Welvaert, Y. Rosseel, and K. Tabelow, “How to smooth your fMRI data? A comparison between Gaussian and adaptive smoothing,” in 18th Annual Meeting of the Organization for Human Brain Mapping, Abstracts, Beijing, China, 2012.
@inproceedings{3081768, author = {{Welvaert, Marijke and Rosseel, Yves and Tabelow, Karsten}}, booktitle = {{18th Annual Meeting of the Organization for Human Brain Mapping, Abstracts}}, language = {{eng}}, location = {{Beijing, China}}, title = {{How to smooth your fMRI data? A comparison between Gaussian and adaptive smoothing}}, year = {{2012}}, }