These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
15. Rethinking assumptions about how trial and nuisance variability impact neural task performance in a fast-processing regime. Roth N; Rust NC J Neurophysiol; 2019 Jan; 121(1):115-130. PubMed ID: 30403544 [TBL] [Abstract][Full Text] [Related]
16. Robustness of neuroprosthetic decoding algorithms. Serruya M; Hatsopoulos N; Fellows M; Paninski L; Donoghue J Biol Cybern; 2003 Mar; 88(3):219-28. PubMed ID: 12647229 [TBL] [Abstract][Full Text] [Related]
17. In search of more robust decoding algorithms for neural prostheses, a data driven approach. Subasi E; Townsend B; Scherberger H Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4172-5. PubMed ID: 21096886 [TBL] [Abstract][Full Text] [Related]
18. Bayesian population decoding of motor cortical activity using a Kalman filter. Wu W; Gao Y; Bienenstock E; Donoghue JP; Black MJ Neural Comput; 2006 Jan; 18(1):80-118. PubMed ID: 16354382 [TBL] [Abstract][Full Text] [Related]
19. Recasting brain-machine interface design from a physical control system perspective. Zhang Y; Chase SM J Comput Neurosci; 2015 Oct; 39(2):107-18. PubMed ID: 26142906 [TBL] [Abstract][Full Text] [Related]
20. Inference and Decoding of Motor Cortex Low-Dimensional Dynamics via Latent State-Space Models. Aghagolzadeh M; Truccolo W IEEE Trans Neural Syst Rehabil Eng; 2016 Feb; 24(2):272-82. PubMed ID: 26336135 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]