Unscented Kalman Filter for Brain-Machine Interfaces
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DOI: 10.1371/journal.pone.0006243
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Cited by:
- Andrey Eliseyev & Tetiana Aksenova, 2016. "Penalized Multi-Way Partial Least Squares for Smooth Trajectory Decoding from Electrocorticographic (ECoG) Recording," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
- Rodina, L. & Harris, L. & Ziervogel, G. & Wilson, J., 2024. "Resilience counter-currents: Water infrastructures, informality, and inequities in Cape Town, South Africa," World Development, Elsevier, vol. 180(C).
- Ahn, Sungyong, 2016. "Becoming a network beyond boundaries: Brain-Machine Interfaces (BMIs) as the actor-networks after the internet of things," Technology in Society, Elsevier, vol. 47(C), pages 49-59.
- Josh Merel & David Carlson & Liam Paninski & John P Cunningham, 2016. "Neuroprosthetic Decoder Training as Imitation Learning," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-24, May.
- Wu Zhu & Jian-an Fang & Yang Tang & Wenbing Zhang & Wei Du, 2012. "Digital IIR Filters Design Using Differential Evolution Algorithm with a Controllable Probabilistic Population Size," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
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