The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A novel method for reliable and fast extraction of neuronal EEG/MEG oscillations on the basis of spatio-spectral decomposition
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Citations
Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Van Veen, B. D., Van Drongelen, W., Yuchtman, M., & Suzuki, A. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.623056 · Cited by 2,561
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., & Muller, K.-R. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.4408441 · Cited by 2,080 · cited 1×
“Generalized eigenvalue decomposition has been previously used in EEG research in another context. i.e., for the extraction of spatial patterns from different experimental conditions recorded at separate time intervals (Blankertz et al., 2008; Koles, 1991, Common Spatial Patterns technique).”
Signal Processing in Magnetoencephalography
Vrba, J., & Robinson, S. E. (2001) · Methods · doi:10.1006/meth.2001.1238 · Cited by 716
Cited by
Review of the BCI Competition IV
Tangermann, M., Müller, K.-R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K. J., Müller-Putz, G. R., et al. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00055 · Cited by 1,288
Self-citationMethodological considerations for studying neural oscillations
Donoghue, T., Schaworonkow, N., & Voytek, B. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15361 · Cited by 309
A Survey on Measuring Cognitive Workload in Human-Computer Interaction
Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. W. (2023) · ACM Computing Surveys · doi:10.1145/3582272 · Cited by 304
“Researchers are concerned about this and invest significant effort to reduce the number of measurement artifacts [53, 73, 127, 181].”
Kosch, T., Funk, M., Schmidt, A., & Chuang, L. L. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3229093 · Cited by 46
Kosch, T., Schmidt, A., Thanheiser, S., & Chuang, L. L. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376766 · Cited by 25
Metadata
- Authors
- Nikulin, V. V., Nolte, G., & Curio, G.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 55
- Issue
- 4
- Pages
- 1528-1535
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2052032974
- Cited by
- 198
- References
- 6
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A novel method for reliable and fast extraction of neuronal EEG/MEG oscillations on the basis of spatio-spectral decomposition. https://app.cochat.ai/papers/10.1016/j.neuroimage.2011.01.057
- The paper
- Nikulin, V. V., Nolte, G., & Curio, G. (2011). A novel method for reliable and fast extraction of neuronal EEG/MEG oscillations on the basis of spatio-spectral decomposition. NeuroImage. https://doi.org/10.1016/j.neuroimage.2011.01.057
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
