227 related articles for article (PubMed ID: 24348527)
1. An overview of Bayesian methods for neural spike train analysis.
Chen Z
Comput Intell Neurosci; 2013; 2013():251905. PubMed ID: 24348527
[TBL] [Abstract][Full Text] [Related]
2. Efficient sequential Bayesian inference method for real-time detection and sorting of overlapped neural spikes.
Haga T; Fukayama O; Takayama Y; Hoshino T; Mabuchi K
J Neurosci Methods; 2013 Sep; 219(1):92-103. PubMed ID: 23856211
[TBL] [Abstract][Full Text] [Related]
3. Empirical Bayesian significance measure of neuronal spike response.
Oba S; Nakae K; Ikegaya Y; Aki S; Yoshimoto J; Ishii S
BMC Neurosci; 2016 May; 17(1):27. PubMed ID: 27209433
[TBL] [Abstract][Full Text] [Related]
4. Total spiking probability edges: A cross-correlation based method for effective connectivity estimation of cortical spiking neurons.
De Blasi S; Ciba M; Bahmer A; Thielemann C
J Neurosci Methods; 2019 Jan; 312():169-181. PubMed ID: 30500352
[TBL] [Abstract][Full Text] [Related]
5. An analysis of hippocampal spatio-temporal representations using a Bayesian algorithm for neural spike train decoding.
Barbieri R; Wilson MA; Frank LM; Brown EN
IEEE Trans Neural Syst Rehabil Eng; 2005 Jun; 13(2):131-6. PubMed ID: 16003890
[TBL] [Abstract][Full Text] [Related]
6. A nonparametric Bayesian alternative to spike sorting.
Wood F; Black MJ
J Neurosci Methods; 2008 Aug; 173(1):1-12. PubMed ID: 18602697
[TBL] [Abstract][Full Text] [Related]
7. Fast nonnegative deconvolution for spike train inference from population calcium imaging.
Vogelstein JT; Packer AM; Machado TA; Sippy T; Babadi B; Yuste R; Paninski L
J Neurophysiol; 2010 Dec; 104(6):3691-704. PubMed ID: 20554834
[TBL] [Abstract][Full Text] [Related]
8. A reproducing kernel Hilbert space framework for spike train signal processing.
Paiva AR; Park I; Príncipe JC
Neural Comput; 2009 Feb; 21(2):424-49. PubMed ID: 19431265
[TBL] [Abstract][Full Text] [Related]
9. A hidden Markov model for decoding and the analysis of replay in spike trains.
Box M; Jones MW; Whiteley N
J Comput Neurosci; 2016 Dec; 41(3):339-366. PubMed ID: 27624733
[TBL] [Abstract][Full Text] [Related]
10. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells.
Brown EN; Frank LM; Tang D; Quirk MC; Wilson MA
J Neurosci; 1998 Sep; 18(18):7411-25. PubMed ID: 9736661
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Deconvolution improves the detection and quantification of spike transmission gain from spike trains.
Spivak L; Levi A; Sloin HE; Someck S; Stark E
Commun Biol; 2022 May; 5(1):520. PubMed ID: 35641587
[TBL] [Abstract][Full Text] [Related]
13. Efficient Markov chain Monte Carlo methods for decoding neural spike trains.
Ahmadian Y; Pillow JW; Paninski L
Neural Comput; 2011 Jan; 23(1):46-96. PubMed ID: 20964539
[TBL] [Abstract][Full Text] [Related]
14. A simple spike train decoder inspired by the sampling theorem.
August DA; Levy WB
Neural Comput; 1996 Jan; 8(1):67-84. PubMed ID: 8564804
[TBL] [Abstract][Full Text] [Related]
15. Analyzing multiple spike trains with nonparametric Granger causality.
Nedungadi AG; Rangarajan G; Jain N; Ding M
J Comput Neurosci; 2009 Aug; 27(1):55-64. PubMed ID: 19137420
[TBL] [Abstract][Full Text] [Related]
16. Estimation of a mean template from spike-train data.
Wu W; Srivastava A
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1323-6. PubMed ID: 23366142
[TBL] [Abstract][Full Text] [Related]
17. SPIKY: a graphical user interface for monitoring spike train synchrony.
Kreuz T; Mulansky M; Bozanic N
J Neurophysiol; 2015 May; 113(9):3432-45. PubMed ID: 25744888
[TBL] [Abstract][Full Text] [Related]
18. An information-geometric framework for statistical inferences in the neural spike train space.
Wu W; Srivastava A
J Comput Neurosci; 2011 Nov; 31(3):725-48. PubMed ID: 21584775
[TBL] [Abstract][Full Text] [Related]
19. Superiority of nonlinear mapping in decoding multiple single-unit neuronal spike trains: a simulation study.
Kim KH; Kim SS; Kim SJ
J Neurosci Methods; 2006 Jan; 150(2):202-11. PubMed ID: 16099513
[TBL] [Abstract][Full Text] [Related]
20. How Do Spike Collisions Affect Spike Sorting Performance?
Garcia S; Buccino AP; Yger P
eNeuro; 2022; 9(5):. PubMed ID: 36171060
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
