References
- http://www.braininitiative.nih.gov/2025/index.htm.
- Greicius, M.D., et al., Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb Cortex, 2009. 19(1): p. 72-8. https://doi.org/10.1093/cercor/bhn059
- Roebroeck, A., E. Formisano, and R. Goebel, Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage, 2005. 25(1): p. 230-42. https://doi.org/10.1016/j.neuroimage.2004.11.017
- Smith, S.M., The future of FMRI connectivity. Neuroimage, 2012. 62(2): p. 1257-66. https://doi.org/10.1016/j.neuroimage.2012.01.022
- Hutchison, R.M., et al., Dynamic functional connectivity: promise, issues, and interpretations. Neuroimage, 2013. 80: p. 360-78. https://doi.org/10.1016/j.neuroimage.2013.05.079
- Zalesky, A., et al., Time-resolved resting-state brain networks. Proc Natl Acad Sci U S A, 2014. 111(28): p. 10341-6. https://doi.org/10.1073/pnas.1400181111
- Stevenson, I.H., et al., Inferring functional connections between neurons. Curr Opin Neurobiol, 2008. 18(6): p. 582-8. https://doi.org/10.1016/j.conb.2008.11.005
- Cunningham, J.P. and B.M. Yu, Dimensionality reduction for large-scale neural recordings. Nat Neurosci, 2014. 17(11): p. 1500-9. https://doi.org/10.1038/nn.3776
- Stevenson, I.H. and K.P. Kording, How advances in neural recording affect data analysis. Nat Neurosci, 2011. 14(2): p. 139-42. https://doi.org/10.1038/nn.2731