The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Classical and Bayesian Inference in Neuroimaging: Applications
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
Advances in neural information processing systems 11
Peter Sollich, A. (1999) · Cited by 3,168
Analysis of fMRI Time-Series Revisited—Again
Worsley, K. J., & Friston, K. J. (1995) · NeuroImage · doi:10.1006/nimg.1995.1023 · Cited by 2,185
Self-citationAnalysis of functional MRI time‐series
Friston, K. J., Jezzard, P., & Turner, R. (1994) · Human Brain Mapping · doi:10.1002/hbm.460010207 · Cited by 1,682
Self-citationBox, G. E. P. (1954) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177728786 · Cited by 1,513
A General Statistical Analysis for fMRI Data
Worsley, K. J., Liao, C. H., Aston, J., Petre, V., Duncan, G. H., Morales, F., & Evans, A. C. (2002) · NeuroImage · doi:10.1006/nimg.2001.0933 · Cited by 1,163
An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis
Geisser, S., & Greenhouse, S. W. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706545 · Cited by 1,098
Multimodal Image Coregistration and Partitioning—A Unified Framework
Ashburner, J., & Friston, K. (1997) · NeuroImage · doi:10.1006/nimg.1997.0290 · Cited by 927
Self-citation
Cited by
Mixed-effects modeling with crossed random effects for subjects and items
Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.12.005 · Cited by 8,540
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Separating the brain regions involved in recollection and familiarity in recognition memory
Yonelinas, A. P., Otten, L. J., Shaw, K. N., & Rugg, M. D. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5295-04.2005 · Cited by 813
Are spatial memories strengthened in the human hippocampus during slow wave sleep?
Peigneux, P., Laureys, S., Fuchs, S., Collette, F., Perrin, F., Reggers, J., Phillips, C., Degueldre, C., Del Fiore, G., Aerts, J., et al. (2004) · Neuron · doi:10.1016/j.neuron.2004.10.007 · Cited by 766
Self-citationDistinct prefrontal cortex activity associated with item memory and source memory for visual shapes
Slotnick, S. D., Moo, L. R., Segal, J. B., & Hart, J. (2003) · Cognitive Brain Research · doi:10.1016/s0926-6410(03)00082-x · Cited by 654
Metadata
- Authors
- Friston, K. J., Glaser, D. E., Henson, R. N. A., Kiebel, S., Phillips, C., & Ashburner, J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2002-06
- Volume
- 16
- Issue
- 2
- Pages
- 484-512
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1969534031
- Cited by
- 719
- References
- 23
- FWCI
- 21.23
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Classical and Bayesian Inference in Neuroimaging: Applications. https://app.cochat.ai/papers/10.1006/nimg.2002.1091
- The paper
- Friston, K. J., Glaser, D. E., Henson, R. N. A., Kiebel, S., Phillips, C., & Ashburner, J. (2002). Classical and Bayesian Inference in Neuroimaging: Applications. NeuroImage. https://doi.org/10.1006/nimg.2002.1091
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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.
