668 related articles for article (PubMed ID: 29357468)
1. 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]
2. Ensembles of change-point detectors: implications for real-time BMI applications.
Xiao Z; Hu S; Zhang Q; Tian X; Chen Y; Wang J; Chen Z
J Comput Neurosci; 2019 Feb; 46(1):107-124. PubMed ID: 30206733
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Stochastic optimal control of single neuron spike trains.
Iolov A; Ditlevsen S; Longtin A
J Neural Eng; 2014 Aug; 11(4):046004. PubMed ID: 24891497
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Deciphering neuronal population codes for acute thermal pain.
Chen Z; Zhang Q; Tong APS; Manders TR; Wang J
J Neural Eng; 2017 Jun; 14(3):036023. PubMed ID: 28384122
[TBL] [Abstract][Full Text] [Related]
8. Spectral estimation of nonstationary EEG using particle filtering with application to event-related desynchronization (ERD).
Ting CM; Salleh ShH; Zainuddin ZM; Bahar A
IEEE Trans Biomed Eng; 2011 Feb; 58(2):321-31. PubMed ID: 21257361
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Linear parameter-varying model and adaptive filtering technique for detecting neuronal activities: an fNIRS study.
Kamran MA; Hong KS
J Neural Eng; 2013 Oct; 10(5):056002. PubMed ID: 23893789
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A 128-Channel FPGA-Based Real-Time Spike-Sorting Bidirectional Closed-Loop Neural Interface System.
Park J; Kim G; Jung SD
IEEE Trans Neural Syst Rehabil Eng; 2017 Dec; 25(12):2227-2238. PubMed ID: 28459692
[TBL] [Abstract][Full Text] [Related]
13. Normalized auto- and cross-covariance functions for neuronal spike train analysis.
Shao XS; Chen PX
Int J Neurosci; 1987 May; 34(1-2):85-95. PubMed ID: 3610506
[TBL] [Abstract][Full Text] [Related]
14. Generation of spatiotemporally correlated spike trains and local field potentials using a multivariate autoregressive process.
Gutnisky DA; Josić K
J Neurophysiol; 2010 May; 103(5):2912-30. PubMed ID: 20032244
[TBL] [Abstract][Full Text] [Related]
15. Quantifying the isolation quality of extracellularly recorded action potentials.
Joshua M; Elias S; Levine O; Bergman H
J Neurosci Methods; 2007 Jul; 163(2):267-82. PubMed ID: 17477972
[TBL] [Abstract][Full Text] [Related]
16. Estimation of parameters in Shot-Noise-Driven Doubly Stochastic Poisson processes using the EM algorithm--modeling of pre- and postsynaptic spike trains.
Mino H
Methods Inf Med; 2007; 46(2):151-4. PubMed ID: 17347746
[TBL] [Abstract][Full Text] [Related]
17. Dynamic analyses of information encoding in neural ensembles.
Barbieri R; Frank LM; Nguyen DP; Quirk MC; Solo V; Wilson MA; Brown EN
Neural Comput; 2004 Feb; 16(2):277-307. PubMed ID: 15006097
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. On the robustness of EC-PC spike detection method for online neural recording.
Zhou Y; Wu T; Rastegarnia A; Guan C; Keefer E; Yang Z
J Neurosci Methods; 2014 Sep; 235():316-30. PubMed ID: 25088692
[TBL] [Abstract][Full Text] [Related]
20. Estimating a state-space model from point process observations.
Smith AC; Brown EN
Neural Comput; 2003 May; 15(5):965-91. PubMed ID: 12803953
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
