Singh, Matthew F., Wang, Anxu, Braver, Todd S., and Ching, ShiNung. Scalable surrogate deconvolution for identification of partially-observable systems and brain modeling. Journal of Neural Engineering 17.4 Web. doi:10.1088/1741-2552/aba07d.

Singh, Matthew F., Wang, Anxu, Braver, Todd S., & Ching, ShiNung. Scalable surrogate deconvolution for identification of partially-observable systems and brain modeling. Journal of Neural Engineering, 17 (4). https://doi.org/10.1088/1741-2552/aba07d

Singh, Matthew F., Wang, Anxu, Braver, Todd S., and Ching, ShiNung. "Scalable surrogate deconvolution for identification of partially-observable systems and brain modeling". Journal of Neural Engineering 17 (4). Country unknown/Code not available: IOP Publishing. https://doi.org/10.1088/1741-2552/aba07d. https://par.nsf.gov/biblio/10182950.

@article{osti_10182950,
place = {Country unknown/Code not available}, title = {Scalable surrogate deconvolution for identification of partially-observable systems and brain modeling}, url = {https://par.nsf.gov/biblio/10182950}, DOI = {10.1088/1741-2552/aba07d}, abstractNote = {Not Available}, journal = {Journal of Neural Engineering}, volume = {17}, number = {4}, publisher = {IOP Publishing}, author = {Singh, Matthew F. and Wang, Anxu and Braver, Todd S. and Ching, ShiNung}, }