The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Testing for directed influences among neural signals using partial directed coherence
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Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
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Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
Modeling by shortest data description
Rissanen, J. (1978) · Automatica · doi:10.1016/0005-1098(78)90005-5 · Cited by 6,011
Synchronization a universal concept in nonlinear sciences
PIKOVSKY, A. S., Rosenblum, M. G., & Kurths, J. (2001) · Cited by 5,640
The synchronization of chaotic systems
Boccaletti, S., Kurths, J., Osipov, G., Valladares, D. L., & Zhou, C. S. (2002) · Physics Reports · doi:10.1016/s0370-1573(02)00137-0 · Cited by 2,764
Time Series: Data Analysis and Theory.
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Cited by
Wiener–Granger Causality: A well established methodology
Bressler, S. L., & Seth, A. K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.059 · Cited by 847
Synchronized brain network associated with essential tremor as revealed by magnetoencephalography
Schnitzler, A., Münks, C., Butz, M., Timmermann, L., & Gross, J. (2009) · Movement Disorders · doi:10.1002/mds.22633 · Cited by 265
Schelter, B., Timmer, J., & Eichler, M. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.01.006 · Cited by 214
Self-citationDemirci, O., Stevens, M. C., Andreasen, N. C., Michael, A., Liu, J., White, T., Pearlson, G. D., Clark, V. P., & Calhoun, V. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.014 · Cited by 126
Functional and effective connectivity based features of EEG signals for object recognition
Tafreshi, T. F., Daliri, M. R., & Ghodousi, M. (2019) · Cognitive Neurodynamics · doi:10.1007/s11571-019-09556-7 · Cited by 61
Metadata
- Authors
- Schelter, B., Winterhalder, M., Eichler, M., Peifer, M., Hellwig, B., Guschlbauer, B., Lücking, C. H., Dahlhaus, R., & Timmer, J.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 152
- Issue
- 1-2
- Pages
- 210-219
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2154585723
- Cited by
- 299
- References
- 41
- FWCI
- 4.82
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Testing for directed influences among neural signals using partial directed coherence. https://app.cochat.ai/papers/10.1016/j.jneumeth.2005.09.001
- The paper
- Schelter, B., Winterhalder, M., Eichler, M., Peifer, M., Hellwig, B., Guschlbauer, B., Lücking, C. H., Dahlhaus, R., & Timmer, J. (2006). Testing for directed influences among neural signals using partial directed coherence. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2005.09.001
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.
