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: 21115044)

  • 21. Parameter identification for a local field potential driven model of the Parkinsonian subthalamic nucleus spike activity.
    Michmizos KP; Sakas D; Nikita KS
    Neural Netw; 2012 Dec; 36():146-56. PubMed ID: 23131592
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Change-point analysis of neuron spike train data.
    Bélisle P; Joseph L; MacGibbon B; Wolfson DB; du Berger R
    Biometrics; 1998 Mar; 54(1):113-23. PubMed ID: 9544510
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces.
    Shpigelman L; Singer Y; Paz R; Vaadia E
    Neural Comput; 2005 Mar; 17(3):671-90. PubMed ID: 15802010
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Two distinct mechanisms shape the reliability of neural responses.
    Schreiber S; Samengo I; Herz AV
    J Neurophysiol; 2009 May; 101(5):2239-51. PubMed ID: 19193775
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computation of spiking activity for a stochastic spatial neuron model: effects of spatial distribution of input on bimodality and CV of the ISI distribution.
    Tuckwell HC
    Math Biosci; 2007 Jun; 207(2):246-60. PubMed ID: 17337282
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Time-resolved and time-scale adaptive measures of spike train synchrony.
    Kreuz T; Chicharro D; Greschner M; Andrzejak RG
    J Neurosci Methods; 2011 Jan; 195(1):92-106. PubMed ID: 21129402
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Trial-by-trial estimation of amplitude and latency variability in neuronal spike trains.
    Bollimunta A; Knuth KH; Ding M
    J Neurosci Methods; 2007 Feb; 160(1):163-70. PubMed ID: 17000007
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Measurement of variability dynamics in cortical spike trains.
    Nawrot MP; Boucsein C; Rodriguez Molina V; Riehle A; Aertsen A; Rotter S
    J Neurosci Methods; 2008 Apr; 169(2):374-90. PubMed ID: 18155774
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy.
    Jolivet R; Lewis TJ; Gerstner W
    J Neurophysiol; 2004 Aug; 92(2):959-76. PubMed ID: 15277599
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. 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]  

  • 34. 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]  

  • 35. An artificial chaotic spiking neuron inspired by spiral ganglion cell: paralleled spike encoding, theoretical analysis, and electronic circuit implementation.
    Torikai H; Nishigami T
    Neural Netw; 2009; 22(5-6):664-73. PubMed ID: 19595567
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Attractor reliability reveals deterministic structure in neuronal spike trains.
    Tiesinga PH; Fellous JM; Sejnowski TJ
    Neural Comput; 2002 Jul; 14(7):1629-50. PubMed ID: 12079549
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Computing the optimally fitted spike train for a synapse.
    Natschläger T; Maass W
    Neural Comput; 2001 Nov; 13(11):2477-94. PubMed ID: 11674847
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 7.