The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates
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Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Spherical splines for scalp potential and current density mapping
Perrin, F., Pernier, J., Bertrand, O., & Echallier, J. F. (1989) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(89)90180-6 · Cited by 2,706
Cited by
Cavanagh, J. F., Cohen, M. X., & Allen, J. J. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4137-08.2009 · Cited by 669
Lucid dreaming: a state of consciousness with features of both waking and non-lucid dreaming
Voss, U., Holzmann, R., Tuin, I., & Hobson, A. J. (2009) · Sleep · doi:10.1093/sleep/32.9.1191 · Cited by 445
Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view
Burle, B., Spieser, L., Roger, C., Casini, L., Hasbroucq, T., & Vidal, F. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.05.004 · Cited by 414
Luft, C. D. B., & Bhattacharya, J. (2015) · Scientific Reports · doi:10.1038/srep15717 · Cited by 143
“The CSD was applied using the CSD toolbox 58 which computes the scalp surface Laplacian by applying the spherical spline algorithm 59 , in which the G (surface potentials) and H (current source densities) matrices are calculated based on a sphere.”
Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity
Saggar, M., King, B. G., Zanesco, A. P., MacLean, K. A., Aichele, S. R., Jacobs, T. L., Bridwell, D. A., Shaver, P. R., Rosenberg, E. L., Sahdra, B. K., et al. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00256 · Cited by 124
Metadata
- Authors
- Kayser, J., & Tenke, C. E.
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 117
- Issue
- 2
- Pages
- 369-380
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2144931071
- Cited by
- 290
- References
- 2
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates. https://app.cochat.ai/papers/10.1016/j.clinph.2005.08.033
- The paper
- Kayser, J., & Tenke, C. E. (2006). Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates. Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2005.08.033
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.
