Cite
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI.
MLA
Koppe, Georgia, et al. “Identifying Nonlinear Dynamical Systems via Generative Recurrent Neural Networks with Applications to FMRI.” PLoS Computational Biology, vol. 15, no. 8, Aug. 2019, pp. 1–35. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1007263.
APA
Koppe, G., Toutounji, H., Kirsch, P., Lis, S., & Durstewitz, D. (2019). Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI. PLoS Computational Biology, 15(8), 1–35. https://doi.org/10.1371/journal.pcbi.1007263
Chicago
Koppe, Georgia, Hazem Toutounji, Peter Kirsch, Stefanie Lis, and Daniel Durstewitz. 2019. “Identifying Nonlinear Dynamical Systems via Generative Recurrent Neural Networks with Applications to FMRI.” PLoS Computational Biology 15 (8): 1–35. doi:10.1371/journal.pcbi.1007263.