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 *

110 related articles for article (PubMed ID: 10769325)

  • 41. Multi-scale detection of rate changes in spike trains with weak dependencies.
    Messer M; Costa KM; Roeper J; Schneider G
    J Comput Neurosci; 2017 Apr; 42(2):187-201. PubMed ID: 28025784
    [TBL] [Abstract][Full Text] [Related]  

  • 42. A joint interspike interval difference stochastic spike train analysis: detecting local trends in the temporal firing patterns of single neurons.
    Fitzurka MA; Tam DC
    Biol Cybern; 1999 May; 80(5):309-26. PubMed ID: 10365424
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Lateral geniculate nucleus unitary discharge in sleep and waking: state- and rate-specific aspects.
    McCarley RW; Benoit O; Barrionuevo G
    J Neurophysiol; 1983 Oct; 50(4):798-818. PubMed ID: 6631464
    [TBL] [Abstract][Full Text] [Related]  

  • 44. The firing of an excitable neuron in the presence of stochastic trains of strong synaptic inputs.
    Rubin J; Josić K
    Neural Comput; 2007 May; 19(5):1251-94. PubMed ID: 17381266
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal Model.
    Stavisky SD; Kao JC; Ryu SI; Shenoy KV
    J Neurosci; 2017 Feb; 37(7):1721-1732. PubMed ID: 28087767
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate.
    Graupner M; Wallisch P; Ostojic S
    J Neurosci; 2016 Nov; 36(44):11238-11258. PubMed ID: 27807166
    [TBL] [Abstract][Full Text] [Related]  

  • 47. 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]  

  • 48. Gauss-diffusion processes for modeling the dynamics of a couple of interacting neurons.
    Buonocore A; Caputo L; Pirozzi E; Carfora MF
    Math Biosci Eng; 2014 Apr; 11(2):189-201. PubMed ID: 24245714
    [TBL] [Abstract][Full Text] [Related]  

  • 49. 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; 173(1):165-81. PubMed ID: 18577401
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Probability density methods for smooth function approximation and learning in populations of tuned spiking neurons.
    Sanger TD
    Neural Comput; 1998 Aug; 10(6):1567-86. PubMed ID: 9698358
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Continuous functions determined by spike trains of a neuron subject to stimulation.
    Awiszus F
    Biol Cybern; 1988; 58(5):321-7. PubMed ID: 3382703
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Dynamics of the firing probability of noisy integrate-and-fire neurons.
    Fourcaud N; Brunel N
    Neural Comput; 2002 Sep; 14(9):2057-110. PubMed ID: 12184844
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A set probability technique for detecting relative time order across multiple neurons.
    Smith AC; Smith P
    Neural Comput; 2006 May; 18(5):1197-214. PubMed ID: 16595062
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Dissociation between sustained single-neuron spiking and transient β-LFP oscillations in primate motor cortex.
    Rule ME; Vargas-Irwin CE; Donoghue JP; Truccolo W
    J Neurophysiol; 2017 Apr; 117(4):1524-1543. PubMed ID: 28100654
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution.
    Peyrache A; Benchenane K; Khamassi M; Wiener SI; Battaglia FP
    J Comput Neurosci; 2010 Aug; 29(1-2):309-325. PubMed ID: 19529888
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Neuron classification based on temporal firing patterns by the dynamical analysis with changing time resolution (DCT) method.
    Oshio K; Yamada S; Nakashima M
    Biol Cybern; 2003 Jun; 88(6):438-49. PubMed ID: 12789492
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Contributions of the input signal and prior activation history to the discharge behaviour of rat motoneurones.
    Powers RK; Dai Y; Bell BM; Percival DB; Binder MD
    J Physiol; 2005 Feb; 562(Pt 3):707-24. PubMed ID: 15611038
    [TBL] [Abstract][Full Text] [Related]  

  • 58. State space method for predicting the spike times of a neuron.
    Kobayashi R; Shinomoto S
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 Jan; 75(1 Pt 1):011925. PubMed ID: 17358202
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Detecting precise firing sequences in experimental data.
    Abeles M; Gat I
    J Neurosci Methods; 2001 May; 107(1-2):141-54. PubMed ID: 11389951
    [TBL] [Abstract][Full Text] [Related]  

  • 60. 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]  

    [Previous]   [Next]    [New Search]
    of 6.