Current Density Reconstructions Using the L1 Norm
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
L1-norm regularization favors sparse source distribution and assumes that sources follow a Laplace prior distribution in Bayesian inference.
“L1-norm regularization favors sparse source distribution (57–60); it assumes that the sources follow a Laplace prior distribution in Bayesian inference.”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [59]
L1-norm regularization favors sparse source distribution and assumes that sources follow a Laplace prior distribution in Bayesian inference.
“L1-norm regularization favors sparse source distribution (57–60); it assumes that the sources follow a Laplace prior distribution in Bayesian inference.”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [60]
Cites
On the numerical accuracy of the boundary element method (EEG application)
Meijs, J. W. H., Weier, O. W., Peters, M. J., & van Oosterom, A. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.40805 · Cited by 305 · see citing works
Wang, J.-Z., Williamson, S. J., & Kaufman, L. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.142641 · Cited by 299 · see citing works
Selective minimum-norm solution of the biomagnetic inverse problem
Matsuura, K., & Okabe, Y. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.387200 · Cited by 243 · see citing works
Numerical Methods of Mathematical Optimization
(1971) · Elsevier eBooks · doi:10.1016/c2013-0-11021-5 · Cited by 83 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Electrophysiological source imaging: A noninvasive window to brain dynamics
He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297 · see citing works
Distributed Source Models: Standard Solutions and New Developments
Menéndez, R. G. D. P., & Andino, S. L. G. (1999) · Springer series in synergetics · doi:10.1007/978-3-642-60007-4_10 · Cited by 97 · see citing works
Waberski, T. D., Buchner, H., Perkuhn, M., Gobbelé, R., Wagner, M., Kücker, W., & Silny, J. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00092-9 · Cited by 95 · see citing works
Self-citationClinical utility of distributed source modelling of interictal scalp EEG in focal epilepsy
Plummer, C., Wagner, M., Fuchs, M., Vogrin, S. J., Litewka, L., FARISH, S. J., Bailey, C., Harvey, A. S., & Cook, M. J. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.04.002 · Cited by 48 · see citing works
Self-citationWolters, C. H., Beckmann, R., Rienäcker, A., & Büchner, H. (1999) · Brain Topography · doi:10.1023/a:1022281005608 · Cited by 45 · see citing works
Brain processing of visual sexual stimuli in human males
Redout�, J., Stol�ru, S., Gr�goire, M.-C., Costes, N., Cinotti, L., Lavenne, F., Bars, D. L., Forest, M. G., & Pujol, J. F. (2000) · Human Brain Mapping · doi:10.1002/1097-0193(200011)11:3 · Cited by 517 · see citing works
Source Reconstruction of Mesial‐Temporal Epileptiform Activity: Comparison of Inverse Techniques
Waberski, T. D., Gobbelé, R., Herrendorf, G., Steinhoff, B. J., Kolle, R., Fuchs, M., Paulus, W., & Buchner, H. (2000) · Epilepsia · doi:10.1111/j.1499-1654.2000.001574.x · Cited by 38 · see citing works
Self-citationElectrophysiological Mapping and Neuroimaging
He, B., & Ding, L. (2013) · Neural Engineering · doi:10.1007/978-1-4614-5227-0_12 · Cited by 26 · see citing works
Liao, K., Zhu, M., & Ding, L. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.04.015 · Cited by 24 · see citing works
Sparse imaging of cortical electrical current densities via wavelet transforms
Liao, K., Zhu, M., Ding, L., Valette, S., Zhang, W., & Dickens, D. L. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/21/6881 · Cited by 23 · see citing works
Depth normalization in MEG/EEG current density imaging
Köhler, T., Wagner, M., Fuchs, M., Wischmann, H.-A., Drenckhahn, R., & Theißen, A. (2002) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.1996.651989 · Cited by 21 · see citing works
Self-citationBrauer, H., Nowak, H., Haueisen, J., & Ziółkowski, M. (2000) · IEEE Transactions on Magnetics · doi:10.1109/20.877768 · Cited by 11 · see citing works
Current Density Reconstructions for Lorentz Force Evaluation
Mengelkamp, J., Carlstedt, M., Weise, K., Ziółkowski, M., Brauer, H., & Haueisen, J. (2016) · Research in Nondestructive Evaluation · doi:10.1080/09349847.2015.1111483 · Cited by 10 · see citing works
Bücker, H. M., Beucker, R., & Rupp, A. (2008) · SIAM Journal on Scientific Computing · doi:10.1137/07069198x · Cited by 9 · see citing works
fMRI-constrained dipole fits and current density reconstructions
Wagner, M., Fuchs, M., & Kastner, J. (2000) · Cited by 9 · see citing works
Self-citationBücker, H. M., & Beucker, R. (2004) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2003.11.004 · Cited by 4 · see citing works
Prior Variances and Depth Un-Biased Estimators in EEG Focal Source Imaging
Koulouri, A., Rimpiläinen, V., Brookes, M., & Kaipio, J. P. (2017) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-10-5122-7_9 · Cited by 3 · see citing works
Non-invasive Functional Neuroimaging for Localizing Epileptic Brain Activity
Shirvany, Y. (2012) · Chalmers Publication Library (Chalmers University of Technology) · Cited by 1 · see citing works
- Authors
- Wagner, M., Wischmann, H.-A., Fuchs, M., Köhler, T., & Drenckhahn, R.
- Affiliations
- Philips (Germany) (DE)
- ORCID
- Fuchs, M.
- Venue
- Biomag 96
- Publisher
- Springer New York
- Published
- 2000
- Pages
- 393-396
- OpenAlex
- W2473383729
- Cited by
- 17
- References
- 4
- Citations by year
- 2018: 1 · 2017: 1 · 2016: 1 · 2013: 1 · 2012: 3
- FWCI
- 4.74
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Mathematical Physics › Numerical methods in inverse problems
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
- Keywords
- current density reconstruction, L1 norm, source localization, biomagnetism, sparse reconstruction, minimum norm least squares, noise immunity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
