97 related articles for article (PubMed ID: 29060871)
1. Detecting abrupt change in neuronal tuning via adaptive point process estimation.
Junjun Chen ; Kai Xu ; Zaiyue Yang ; Yiwen Wang
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():4395-4398. PubMed ID: 29060871
[TBL] [Abstract][Full Text] [Related]
2. Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface.
Chen S; Zhang X; Shen X; Huang Y; Wang Y
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():3078-3081. PubMed ID: 33018655
[TBL] [Abstract][Full Text] [Related]
3. Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces.
Wang Y; She X; Liao Y; Li H; Zhang Q; Zhang S; Zheng X; Principe J
IEEE Trans Biomed Eng; 2016 Aug; 63(8):1728-41. PubMed ID: 26584486
[TBL] [Abstract][Full Text] [Related]
4. Tracking the Time Varying Neural Tuning via Adam on Point Process Observations.
Zhang Z; Chen S; Yang Z; Wang Y
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():195-198. PubMed ID: 30440371
[TBL] [Abstract][Full Text] [Related]
5. Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces.
Liao Y; Li H; Zhang Q; Fan G; Wang Y; Zheng X
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6513-6. PubMed ID: 25571488
[TBL] [Abstract][Full Text] [Related]
6. Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces.
Wang Y; Paiva AR; Príncipe JC; Sanchez JC
Neural Comput; 2009 Oct; 21(10):2894-930. PubMed ID: 19548797
[TBL] [Abstract][Full Text] [Related]
7. Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface
Chen S; Liu X; Wang Y
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6341-6344. PubMed ID: 34892563
[TBL] [Abstract][Full Text] [Related]
8. Tracking Fast Neural Adaptation by Globally Adaptive Point Process Estimation for Brain-Machine Interface.
Chen S; Zhang X; Shen X; Huang Y; Wang Y
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1690-1700. PubMed ID: 34410924
[TBL] [Abstract][Full Text] [Related]
9. Monte Carlo point process estimation of electromyographic envelopes from motor cortical spikes for brain-machine interfaces.
Liao Y; She X; Wang Y; Zhang S; Zhang Q; Zheng X; Principe JC
J Neural Eng; 2015 Dec; 12(6):066014. PubMed ID: 26468607
[TBL] [Abstract][Full Text] [Related]
10. Real-time particle filtering and smoothing algorithms for detecting abrupt changes in neural ensemble spike activity.
Hu S; Zhang Q; Wang J; Chen Z
J Neurophysiol; 2018 Apr; 119(4):1394-1410. PubMed ID: 29357468
[TBL] [Abstract][Full Text] [Related]
11. Neural decoding using a parallel sequential Monte Carlo method on point processes with ensemble effect.
Xu K; Wang Y; Wang F; Liao Y; Zhang Q; Li H; Zheng X
Biomed Res Int; 2014; 2014():685492. PubMed ID: 24949462
[TBL] [Abstract][Full Text] [Related]
12. Nonlinear point-process estimation of neural spiking activity based on variational Bayesian inference.
Xiao P; Liu X
J Neural Eng; 2022 Sep; 19(4):. PubMed ID: 35947962
[No Abstract] [Full Text] [Related]
13. Instantaneous estimation of motor cortical neural encoding for online brain-machine interfaces.
Wang Y; Principe JC
J Neural Eng; 2010 Oct; 7(5):056010. PubMed ID: 20841635
[TBL] [Abstract][Full Text] [Related]
14. Tracking the non-stationary neuron tuning by dual Kalman filter for brain machine interfaces decoding.
Wang Y; Principe JC
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1720-3. PubMed ID: 19163011
[TBL] [Abstract][Full Text] [Related]
15. Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neurons.
Li K; Ditlevsen S
PLoS One; 2019; 14(5):e0216322. PubMed ID: 31086375
[TBL] [Abstract][Full Text] [Related]
16. Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces.
Wang Y; Principe JC; Sanchez JC
Neural Netw; 2009; 22(5-6):781-90. PubMed ID: 19615852
[TBL] [Abstract][Full Text] [Related]
17. Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods.
Ergün A; Barbieri R; Eden UT; Wilson MA; Brown EN
IEEE Trans Biomed Eng; 2007 Mar; 54(3):419-28. PubMed ID: 17355053
[TBL] [Abstract][Full Text] [Related]
18. Tracking the Dynamic Neural Connectivity via Conjugate Gradient Optimization
Li M; Chen S; Zhao Z; Wang Y
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082697
[TBL] [Abstract][Full Text] [Related]
19. Real-Time Point Process Filter for Multidimensional Decoding Problems Using Mixture Models.
Rezaei MR; Arai K; Frank LM; Eden UT; Yousefi A
J Neurosci Methods; 2021 Jan; 348():109006. PubMed ID: 33232686
[TBL] [Abstract][Full Text] [Related]
20. Online Estimating Pairwise Neuronal Functional Connectivity in Brain-Machine Interface.
Chen S; Zhang X; Shen X; Huang Y; Wang Y
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():271-281. PubMed ID: 37995162
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
