The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Analyzing information flow in brain networks with nonparametric Granger causality
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Cites
A new look at the statistical model identification
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Investigating causal relations by econometric models and cross-spectral methods
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Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
The wavelet transform, time-frequency localization and signal analysis
Daubechies, I. (1990) · IEEE Transactions on Information Theory · doi:10.1109/18.57199 · Cited by 6,483
Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - I
Slepian, D., & Pollak, H. O. (1961) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1961.tb03976.x · Cited by 2,492 · cited 1×
“It involves the utilization of the discrete prolate spheroidal sequences (DPSS) (Slepian and Pollak, 1961) known as tapers.”
BackgroundDing, M., Bressler, S. L., Yang, W., & Liang, H. (2000) · Biological Cybernetics · doi:10.1007/s004229900137 · Cited by 582
Self-citationEpisodic multiregional cortical coherence at multiple frequencies during visual task performance
Bressler, S. L., Coppola, R., & Nakamura, R. (1993) · Nature · doi:10.1038/366153a0 · Cited by 533
Korzeniewska, A., Mańczak, M., Kamiński, M., Blinowska, K. J., & Kasicki, S. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(03)00052-9 · Cited by 375
Cited by
The pulvinar regulates information transmission between cortical areas based on attention demands
Saalmann, Y. B., Pinsk, M. A., Wang, L., Li, X., & Kastner, S. (2012) · Science · doi:10.1126/science.1223082 · Cited by 1,016
Granger causality analysis in neuroscience and neuroimaging
Seth, A. K., Barrett, A. B., & Barnett, L. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4399-14.2015 · Cited by 928
Attentional stimulus selection through selective synchronization between monkey visual areas
Bosman, C. A., Schoffelen, J.-M., Brunet, N., Oostenveld, R., Bastos, A. M., Womelsdorf, T., Rubehn, B., Stieglitz, T., De Weerd, P., & Fries, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.037 · Cited by 720
Analysing connectivity with Granger causality and dynamic causal modelling
Friston, K., Moran, R., & Seth, A. K. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.010 · Cited by 684
Recurrence is required to capture the representational dynamics of the human visual system
Kietzmann, T. C., Spoerer, C. J., Sörensen, L. K. A., Cichy, R. M., Hauk, O., & Kriegeskorte, N. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905544116 · Cited by 406
Metadata
- Authors
- Dhamala, M., Rangarajan, G., & Ding, M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 41
- Issue
- 2
- Pages
- 354-362
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2123346926
- Cited by
- 389
- References
- 9
- FWCI
- 6.01
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Dhamala, M., Rangarajan, G., & Ding, M. (2008). Analyzing information flow in brain networks with nonparametric Granger causality. NeuroImage. https://doi.org/10.1016/j.neuroimage.2008.02.020
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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.
