BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

463 related articles for article (PubMed ID: 18439140)

  • 1. Dependence of neuronal correlations on filter characteristics and marginal spike train statistics.
    Tetzlaff T; Rotter S; Stark E; Abeles M; Aertsen A; Diesmann M
    Neural Comput; 2008 Sep; 20(9):2133-84. PubMed ID: 18439140
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Estimating membrane voltage correlations from extracellular spike trains.
    Dorn JD; Ringach DL
    J Neurophysiol; 2003 Apr; 89(4):2271-8. PubMed ID: 12686584
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Correlation between neural spike trains increases with firing rate.
    de la Rocha J; Doiron B; Shea-Brown E; Josić K; Reyes A
    Nature; 2007 Aug; 448(7155):802-6. PubMed ID: 17700699
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 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. Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach.
    Ly C; Tranchina D
    Neural Comput; 2009 Feb; 21(2):360-96. PubMed ID: 19431264
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A simple model of long-term spike train regularization.
    Brandman R; Nelson ME
    Neural Comput; 2002 Jul; 14(7):1575-97. PubMed ID: 12079547
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains.
    Lüdtke N; Nelson ME
    Neural Comput; 2006 Dec; 18(12):2879-916. PubMed ID: 17052149
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Postsynaptic receptive field size and spike threshold determine encoding of high-frequency information via sensitivity to synchronous presynaptic activity.
    Middleton JW; Longtin A; Benda J; Maler L
    J Neurophysiol; 2009 Mar; 101(3):1160-70. PubMed ID: 19091925
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Statistical significance of sequential firing patterns in multi-neuronal spike trains.
    Diekman CO; Sastry PS; Unnikrishnan KP
    J Neurosci Methods; 2009 Sep; 182(2):279-84. PubMed ID: 19559053
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ergodicity of spike trains: when does trial averaging make sense?
    Masuda N; Aihara K
    Neural Comput; 2003 Jun; 15(6):1341-72. PubMed ID: 12816576
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Stimulus-dependent correlations in threshold-crossing spiking neurons.
    Burak Y; Lewallen S; Sompolinsky H
    Neural Comput; 2009 Aug; 21(8):2269-308. PubMed ID: 19409055
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Neural spike train synchronization indices: definitions, interpretations, and applications.
    Halliday DM; Rosenberg JR; Breeze P; Conway BA
    IEEE Trans Biomed Eng; 2006 Jun; 53(6):1056-66. PubMed ID: 16761833
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Inhibitory synaptic plasticity regulates pyramidal neuron spiking in the rodent hippocampus.
    Saraga F; Balena T; Wolansky T; Dickson CT; Woodin MA
    Neuroscience; 2008 Jul; 155(1):64-75. PubMed ID: 18562122
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.