These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 15967509)

  • 1. Comparing neuronal spike trains with inhomogeneous Poisson distribution: evaluation procedure and experimental application in cases of cyclic activity.
    Fiore L; Lorenzetti W; Ratti G
    J Neurosci Methods; 2005 Nov; 149(1):7-14. PubMed ID: 15967509
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States.
    Miller P
    Neural Comput; 2006 Jun; 18(6):1268-317. PubMed ID: 16764505
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian estimation of stimulus responses in Poisson spike trains.
    Lehky SR
    Neural Comput; 2004 Jul; 16(7):1325-43. PubMed ID: 15165392
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories.
    Muller E; Buesing L; Schemmel J; Meier K
    Neural Comput; 2007 Nov; 19(11):2958-3010. PubMed ID: 17883347
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Parameters of spike trains observed in a short time window.
    Pawlas Z; Klebanov LB; Prokop M; Lansky P
    Neural Comput; 2008 May; 20(5):1325-43. PubMed ID: 18194105
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Irregularity in neocortical spike trains: influence of measurement factors and another method of estimation.
    Chelvanayagam DK; Vidyasagar TR
    J Neurosci Methods; 2006 Oct; 157(2):264-73. PubMed ID: 16797077
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Direct estimation of inhomogeneous Markov interval models of spike trains.
    Wójcik DK; Mochol G; Jakuczun W; Wypych M; Waleszczyk WJ
    Neural Comput; 2009 Aug; 21(8):2105-13. PubMed ID: 19538090
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unbiased estimation of precise temporal correlations between spike trains.
    Stark E; Abeles M
    J Neurosci Methods; 2009 Apr; 179(1):90-100. PubMed ID: 19167428
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Slow oscillatory firing: a major firing pattern of dopamine neurons in the ventral tegmental area.
    Shi WX
    J Neurophysiol; 2005 Nov; 94(5):3516-22. PubMed ID: 16222075
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Local shuffling of spike trains boosts the accuracy of spike train spectral analysis.
    Rivlin-Etzion M; Ritov Y; Heimer G; Bergman H; Bar-Gad I
    J Neurophysiol; 2006 May; 95(5):3245-56. PubMed ID: 16407432
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Determining Burst Firing Time Distributions from Multiple Spike Trains.
    Lago-Fernández LF; Szücs A; Varona P
    Neural Comput; 2009 Apr; 21(4):973-90. PubMed ID: 19199390
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Estimating the temporal interval entropy of neuronal discharge.
    Reeke GN; Coop AD
    Neural Comput; 2004 May; 16(5):941-70. PubMed ID: 15070505
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Decoding Poisson spike trains by Gaussian filtering.
    Lehky SR
    Neural Comput; 2010 May; 22(5):1245-71. PubMed ID: 20028224
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessing neuronal coherence with single-unit, multi-unit, and local field potentials.
    Zeitler M; Fries P; Gielen S
    Neural Comput; 2006 Sep; 18(9):2256-81. PubMed ID: 16846392
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Introduction: stability and pattern formation in networks of dynamical systems.
    Boccaletti S; Pecora LM
    Chaos; 2006 Mar; 16(1):015101. PubMed ID: 16599767
    [No Abstract]   [Full Text] [Related]  

  • 18. Synaptic input statistics tune the variability and reproducibility of neuronal responses.
    Dorval AD; White JA
    Chaos; 2006 Jun; 16(2):026105. PubMed ID: 16822037
    [TBL] [Abstract][Full Text] [Related]  

  • 19. How noise affects the synchronization properties of recurrent networks of inhibitory neurons.
    Brunel N; Hansel D
    Neural Comput; 2006 May; 18(5):1066-110. PubMed ID: 16595058
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Drawing inferences from Fano factor calculations.
    Eden UT; Kramer MA
    J Neurosci Methods; 2010 Jun; 190(1):149-52. PubMed ID: 20416340
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.