BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

342 related articles for article (PubMed ID: 19431265)

  • 1. 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]  

  • 2. Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework.
    Li L; Park IM; Brockmeier A; Chen B; Seth S; Francis JT; Sanchez JC; Príncipe JC
    IEEE Trans Neural Syst Rehabil Eng; 2013 Jul; 21(4):532-43. PubMed ID: 22868633
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A history of spike trains as Point Processes in neural coding.
    Segundo JP
    J Physiol Paris; 2010; 104(3-4):156-9. PubMed ID: 20004719
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A general likelihood framework for characterizing the time course of neural activity.
    Prerau MJ; Eden UT
    Neural Comput; 2011 Oct; 23(10):2537-66. PubMed ID: 21732865
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Generation of correlated spike trains.
    Brette R
    Neural Comput; 2009 Jan; 21(1):188-215. PubMed ID: 19431282
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel Hilbert space.
    Zhou SK; Chellappa R
    IEEE Trans Pattern Anal Mach Intell; 2006 Jun; 28(6):917-29. PubMed ID: 16724586
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Improved similarity measures for small sets of spike trains.
    Naud R; Gerhard F; Mensi S; Gerstner W
    Neural Comput; 2011 Dec; 23(12):3016-69. PubMed ID: 21919785
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Conditional probability-based significance tests for sequential patterns in multineuronal spike trains.
    Sastry PS; Unnikrishnan KP
    Neural Comput; 2010 Apr; 22(4):1025-59. PubMed ID: 19922295
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The time-rescaling theorem and its application to neural spike train data analysis.
    Brown EN; Barbieri R; Ventura V; Kass RE; Frank LM
    Neural Comput; 2002 Feb; 14(2):325-46. PubMed ID: 11802915
    [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. Use of 'relative-phase' analysis to assess correlation between neuronal spike trains.
    Chen Y; Nitz DA
    Biol Cybern; 2003 Mar; 88(3):177-82. PubMed ID: 12647225
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Functional identification of spike-processing neural circuits.
    Lazar AA; Slutskiy YB
    Neural Comput; 2014 Feb; 26(2):264-305. PubMed ID: 24206386
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A simple indicator of nonstationarity of firing rate in spike trains.
    Gourévitch B; Eggermont JJ
    J Neurosci Methods; 2007 Jun; 163(1):181-7. PubMed ID: 17418899
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding.
    Fernandes NM; Pinto BD; Almeida LO; Slaets JF; Köberle R
    Neural Comput; 2010 Oct; 22(10):2537-57. PubMed ID: 20608867
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A new spike detection algorithm for extracellular neural recordings.
    Shahid S; Walker J; Smith LS
    IEEE Trans Biomed Eng; 2010 Apr; 57(4):853-66. PubMed ID: 19622433
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.