201 related articles for article (PubMed ID: 21584775)
1. 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]
2. Towards statistical summaries of spike train data.
Wu W; Srivastava A
J Neurosci Methods; 2011 Jan; 195(1):107-10. PubMed ID: 21115044
[TBL] [Abstract][Full Text] [Related]
3. Estimating summary statistics in the spike-train space.
Wu W; Srivastava A
J Comput Neurosci; 2013 Jun; 34(3):391-410. PubMed ID: 23053864
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. The computational structure of spike trains.
Haslinger R; Klinkner KL; Shalizi CR
Neural Comput; 2010 Jan; 22(1):121-57. PubMed ID: 19764880
[TBL] [Abstract][Full Text] [Related]
7. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons.
Jackson BS
Neural Comput; 2004 Oct; 16(10):2125-95. PubMed ID: 15333210
[TBL] [Abstract][Full Text] [Related]
8. A nonparametric approach for detection of bursts in spike trains.
Gourévitch B; Eggermont JJ
J Neurosci Methods; 2007 Mar; 160(2):349-58. PubMed ID: 17070926
[TBL] [Abstract][Full Text] [Related]
9. Non-Euclidean properties of spike train metric spaces.
Aronov D; Victor JD
Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Jun; 69(6 Pt 1):061905. PubMed ID: 15244615
[TBL] [Abstract][Full Text] [Related]
10. Wavelet-based processing of neuronal spike trains prior to discriminant analysis.
Laubach M
J Neurosci Methods; 2004 Apr; 134(2):159-68. PubMed ID: 15003382
[TBL] [Abstract][Full Text] [Related]
11. Testing a neural coding hypothesis using surrogate data.
Hirata Y; Katori Y; Shimokawa H; Suzuki H; Blenkinsop TA; Lang EJ; Aihara K
J Neurosci Methods; 2008 Jul; 172(2):312-22. PubMed ID: 18565591
[TBL] [Abstract][Full Text] [Related]
12. Strictly positive-definite spike train kernels for point-process divergences.
Park IM; Seth S; Rao M; Príncipe JC
Neural Comput; 2012 Aug; 24(8):2223-50. PubMed ID: 22509968
[TBL] [Abstract][Full Text] [Related]
13. Multiscale analysis of neural spike trains.
Ramezan R; Marriott P; Chenouri S
Stat Med; 2014 Jan; 33(2):238-56. PubMed ID: 23996238
[TBL] [Abstract][Full Text] [Related]
14. Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments.
Victor JD; Goldberg DH; Gardner D
J Neurosci Methods; 2007 Apr; 161(2):351-60. PubMed ID: 17174403
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Generating spike trains with specified correlation coefficients.
Macke JH; Berens P; Ecker AS; Tolias AS; Bethge M
Neural Comput; 2009 Feb; 21(2):397-423. PubMed ID: 19196233
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Spike train decoding without spike sorting.
Ventura V
Neural Comput; 2008 Apr; 20(4):923-63. PubMed ID: 18085990
[TBL] [Abstract][Full Text] [Related]
19. Generation of spike trains with controlled auto- and cross-correlation functions.
Krumin M; Shoham S
Neural Comput; 2009 Jun; 21(6):1642-64. PubMed ID: 19191596
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]