Similar articles for PMID: 36851970

Year	Number of Results
2003	1
2008	4
2009	6
2010	4
2011	8
2012	6
2013	6
2014	6
2015	10
2016	9
2017	11
2018	11
2019	9
2020	3
2021	8
2022	14
2023	11
2024	0

1

A new full closed-loop brain-machine interface approach based on neural activity: A study based on modeling and experimental studies.

Amiri M, Nazari S, Jafari AH, Makkiabadi B. Amiri M, et al. Heliyon. 2023 Feb 16;9(3):e13766. doi: 10.1016/j.heliyon.2023.e13766. eCollection 2023 Mar. Heliyon. 2023. PMID: 36851970 Free PMC article.

2

A bidirectional brain-machine interface algorithm that approximates arbitrary force-fields.

Vato A, Szymanski FD, Semprini M, Mussa-Ivaldi FA, Panzeri S. Vato A, et al. PLoS One. 2014 Mar 13;9(3):e91677. doi: 10.1371/journal.pone.0091677. eCollection 2014. PLoS One. 2014. PMID: 24626393 Free PMC article.

3

Shaping the dynamics of a bidirectional neural interface.

Vato A, Semprini M, Maggiolini E, Szymanski FD, Fadiga L, Panzeri S, Mussa-Ivaldi FA. Vato A, et al. PLoS Comput Biol. 2012;8(7):e1002578. doi: 10.1371/journal.pcbi.1002578. Epub 2012 Jul 19. PLoS Comput Biol. 2012. PMID: 22829754 Free PMC article.

4

A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder.

Boi F, Moraitis T, De Feo V, Diotalevi F, Bartolozzi C, Indiveri G, Vato A. Boi F, et al. Front Neurosci. 2016 Dec 9;10:563. doi: 10.3389/fnins.2016.00563. eCollection 2016. Front Neurosci. 2016. PMID: 28018162 Free PMC article.

5

A non-linear mapping algorithm shaping the control policy of a bidirectional brain machine interface.

Boi F, Semprini M, Vato A. Boi F, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:3052-3055. doi: 10.1109/EMBC.2016.7591373. Annu Int Conf IEEE Eng Med Biol Soc. 2016. PMID: 28268955

6

Stimulus-driven changes in sensorimotor behavior and neuronal functional connectivity application to brain-machine interfaces and neurorehabilitation.

Rebesco JM, Miller LE. Rebesco JM, et al. Prog Brain Res. 2011;192:83-102. doi: 10.1016/B978-0-444-53355-5.00006-3. Prog Brain Res. 2011. PMID: 21763520 Review.

7

Brain-Machine Interface Control Algorithms.

Shanechi MM. Shanechi MM. IEEE Trans Neural Syst Rehabil Eng. 2017 Oct;25(10):1725-1734. doi: 10.1109/TNSRE.2016.2639501. Epub 2016 Dec 14. IEEE Trans Neural Syst Rehabil Eng. 2017. PMID: 28113323

8

Decoding Lower Limb Muscle Activity and Kinematics from Cortical Neural Spike Trains during Monkey Performing Stand and Squat Movements.

Ma X, Ma C, Huang J, Zhang P, Xu J, He J. Ma X, et al. Front Neurosci. 2017 Feb 7;11:44. doi: 10.3389/fnins.2017.00044. eCollection 2017. Front Neurosci. 2017. PMID: 28223914 Free PMC article.

9

Somatosensory ECoG-based brain-machine interface with electrical stimulation on medial forebrain bundle.

Cho YK, Koh CS, Lee Y, Park M, Kim TJ, Jung HH, Chang JW, Jun SB. Cho YK, et al. Biomed Eng Lett. 2022 Dec 20;13(1):85-95. doi: 10.1007/s13534-022-00256-6. eCollection 2023 Feb. Biomed Eng Lett. 2022. PMID: 36711163 Free PMC article.

10

Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces.

Wang Y, Paiva AR, Príncipe JC, Sanchez JC. Wang Y, et al. Neural Comput. 2009 Oct;21(10):2894-930. doi: 10.1162/neco.2009.01-08-699. Neural Comput. 2009. PMID: 19548797

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