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Journal Abstract Search

180 related items for PubMed ID: 12750895

  • 1. Elimination of response latency variability in neuronal spike trains.
    Nawrot MP, Aertsen A, Rotter S.
    Biol Cybern; 2003 May; 88(5):321-34. PubMed ID: 12750895
    [Abstract] [Full Text] [Related]

  • 2. Trial-by-trial estimation of amplitude and latency variability in neuronal spike trains.
    Bollimunta A, Knuth KH, Ding M.
    J Neurosci Methods; 2007 Feb 15; 160(1):163-70. PubMed ID: 17000007
    [Abstract] [Full Text] [Related]

  • 3. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons.
    Jackson BS.
    Neural Comput; 2004 Oct 15; 16(10):2125-95. PubMed ID: 15333210
    [Abstract] [Full Text] [Related]

  • 4. First-spike latency in the presence of spontaneous activity.
    Pawlas Z, Klebanov LB, Benes V, Prokesová M, Popelár J, Lánský P.
    Neural Comput; 2010 Jul 15; 22(7):1675-97. PubMed ID: 20235823
    [Abstract] [Full Text] [Related]

  • 5. Attractor reliability reveals deterministic structure in neuronal spike trains.
    Tiesinga PH, Fellous JM, Sejnowski TJ.
    Neural Comput; 2002 Jul 15; 14(7):1629-50. PubMed ID: 12079549
    [Abstract] [Full Text] [Related]

  • 6. Modelling spike trains and extracting response latency with Bayesian binning.
    Endres D, Schindelin J, Földiák P, Oram MW.
    J Physiol Paris; 2010 Jul 15; 104(3-4):128-36. PubMed ID: 19945532
    [Abstract] [Full Text] [Related]

  • 7. Time is a rubberband: neuronal activity in monkey motor cortex in relation to time estimation.
    Renoult L, Roux S, Riehle A.
    Eur J Neurosci; 2006 Jun 15; 23(11):3098-108. PubMed ID: 16820000
    [Abstract] [Full Text] [Related]

  • 8. Estimating receptive fields in the presence of spike-time jitter.
    Gollisch T.
    Network; 2006 Jun 15; 17(2):103-29. PubMed ID: 16818393
    [Abstract] [Full Text] [Related]

  • 9. Increase of neuronal response variability at higher processing levels as revealed by simultaneous recordings.
    Vogel A, Hennig RM, Ronacher B.
    J Neurophysiol; 2005 Jun 15; 93(6):3548-59. PubMed ID: 15716366
    [Abstract] [Full Text] [Related]

  • 10. Trial-to-trial variability and its effect on time-varying dependency between two neurons.
    Ventura V, Cai C, Kass RE.
    J Neurophysiol; 2005 Oct 15; 94(4):2928-39. PubMed ID: 16160096
    [Abstract] [Full Text] [Related]

  • 11. Use of 'relative-phase' analysis to assess correlation between neuronal spike trains.
    Chen Y, Nitz DA.
    Biol Cybern; 2003 Mar 15; 88(3):177-82. PubMed ID: 12647225
    [Abstract] [Full Text] [Related]

  • 12. Using neuronal latency to determine sensory-motor processing pathways in reaction time tasks.
    DiCarlo JJ, Maunsell JH.
    J Neurophysiol; 2005 May 15; 93(5):2974-86. PubMed ID: 15548629
    [Abstract] [Full Text] [Related]

  • 13. 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 30; 169(2):374-90. PubMed ID: 18155774
    [Abstract] [Full Text] [Related]

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

  • 15. 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 16; 448(7155):802-6. PubMed ID: 17700699
    [Abstract] [Full Text] [Related]

  • 16. Unitary events in multiple single-neuron spiking activity: II. Nonstationary data.
    Grün S, Diesmann M, Aertsen A.
    Neural Comput; 2002 Jan 16; 14(1):81-119. PubMed ID: 11747535
    [Abstract] [Full Text] [Related]

  • 17. An improved method for the estimation of firing rate dynamics using an optimal digital filter.
    Cherif S, Cullen KE, Galiana HL.
    J Neurosci Methods; 2008 Aug 15; 173(1):165-81. PubMed ID: 18577401
    [Abstract] [Full Text] [Related]

  • 18. Spike-train variability of auditory neurons in vivo: dynamic responses follow predictions from constant stimuli.
    Schaette R, Gollisch T, Herz AV.
    J Neurophysiol; 2005 Jun 15; 93(6):3270-81. PubMed ID: 15689392
    [Abstract] [Full Text] [Related]

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