Similar articles for PMID: 21919788

Year	Number of Results
1990	1
1998	1
2003	1
2004	1
2005	2
2006	2
2007	2
2008	3
2009	9
2010	7
2011	26
2012	18
2013	20
2014	32
2015	6
2016	9
2017	12
2018	8
2019	7
2020	9
2021	26
2022	25
2023	13
2024	0

1

Adaptive decoding for brain-machine interfaces through Bayesian parameter updates.

Li Z, O'Doherty JE, Lebedev MA, Nicolelis MA. Li Z, et al. Neural Comput. 2011 Dec;23(12):3162-204. doi: 10.1162/NECO_a_00207. Epub 2011 Sep 15. Neural Comput. 2011. PMID: 21919788 Free PMC article.

2

An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine Interfaces.

Li S, Li J, Li Z. Li S, et al. Front Neurosci. 2016 Dec 22;10:587. doi: 10.3389/fnins.2016.00587. eCollection 2016. Front Neurosci. 2016. PMID: 28066170 Free PMC article.

3

Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.

Marathe AR, Taylor DM. Marathe AR, et al. J Neural Eng. 2013 Jun;10(3):036015. doi: 10.1088/1741-2560/10/3/036015. Epub 2013 Apr 23. J Neural Eng. 2013. PMID: 23611833 Free PMC article.

4

Bayesian population decoding of motor cortical activity using a Kalman filter.

Wu W, Gao Y, Bienenstock E, Donoghue JP, Black MJ. Wu W, et al. Neural Comput. 2006 Jan;18(1):80-118. doi: 10.1162/089976606774841585. Neural Comput. 2006. PMID: 16354382

5

Long term, stable brain machine interface performance using local field potentials and multiunit spikes.

Flint RD, Wright ZA, Scheid MR, Slutzky MW. Flint RD, et al. J Neural Eng. 2013 Oct;10(5):056005. doi: 10.1088/1741-2560/10/5/056005. Epub 2013 Aug 5. J Neural Eng. 2013. PMID: 23918061 Free PMC article.

6

Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network.

Tseng PH, Urpi NA, Lebedev M, Nicolelis M. Tseng PH, et al. Neural Comput. 2019 Jun;31(6):1085-1113. doi: 10.1162/neco_a_01189. Epub 2019 Apr 12. Neural Comput. 2019. PMID: 30979355

7

Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces.

Dangi S, Gowda S, Moorman HG, Orsborn AL, So K, Shanechi M, Carmena JM. Dangi S, et al. Neural Comput. 2014 Sep;26(9):1811-39. doi: 10.1162/NECO_a_00632. Epub 2014 Jun 12. Neural Comput. 2014. PMID: 24922501

8

Unscented Kalman filter for brain-machine interfaces.

Li Z, O'Doherty JE, Hanson TL, Lebedev MA, Henriquez CS, Nicolelis MA. Li Z, et al. PLoS One. 2009 Jul 15;4(7):e6243. doi: 10.1371/journal.pone.0006243. PLoS One. 2009. PMID: 19603074 Free PMC article.

9

Training in Use of Brain-Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements.

Fukuma R, Yanagisawa T, Yokoi H, Hirata M, Yoshimine T, Saitoh Y, Kamitani Y, Kishima H. Fukuma R, et al. Front Neurosci. 2018 Jul 11;12:478. doi: 10.3389/fnins.2018.00478. eCollection 2018. Front Neurosci. 2018. PMID: 30050405 Free PMC article.

10

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.

Shanechi MM, Orsborn AL, Carmena JM. Shanechi MM, et al. PLoS Comput Biol. 2016 Apr 1;12(4):e1004730. doi: 10.1371/journal.pcbi.1004730. eCollection 2016 Apr. PLoS Comput Biol. 2016. PMID: 27035820 Free PMC article.

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