APA (7th ed.) Citation

Xie, J., Douglas, P. K., Wu, Y. N., Brody, A. L., & Anderson, A. E. (2017). Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms. Journal of neuroscience methods, 282, 81-94. https://doi.org/10.1016/j.jneumeth.2017.03.008

Chicago Style (17th ed.) Citation

Xie, Jianwen, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, and Ariana E. Anderson. "Decoding the Encoding of Functional Brain Networks: An FMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms." Journal of Neuroscience Methods 282 (2017): 81-94. https://doi.org/10.1016/j.jneumeth.2017.03.008.

MLA (9th ed.) Citation

Xie, Jianwen, et al. "Decoding the Encoding of Functional Brain Networks: An FMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms." Journal of Neuroscience Methods, vol. 282, 2017, pp. 81-94, https://doi.org/10.1016/j.jneumeth.2017.03.008.