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 *

104 related articles for article (PubMed ID: 24492069)

  • 1. Single neuron dynamics and computation.
    Brunel N; Hakim V; Richardson MJ
    Curr Opin Neurobiol; 2014 Apr; 25():149-55. PubMed ID: 24492069
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stochastic optimal control of single neuron spike trains.
    Iolov A; Ditlevsen S; Longtin A
    J Neural Eng; 2014 Aug; 11(4):046004. PubMed ID: 24891497
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses.
    Song D; Chan RH; Marmarelis VZ; Hampson RE; Deadwyler SA; Berger TW
    IEEE Trans Biomed Eng; 2007 Jun; 54(6 Pt 1):1053-66. PubMed ID: 17554824
    [TBL] [Abstract][Full Text] [Related]  

  • 4. What can a neuron learn with spike-timing-dependent plasticity?
    Legenstein R; Naeger C; Maass W
    Neural Comput; 2005 Nov; 17(11):2337-82. PubMed ID: 16156932
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A spiking neuron as information bottleneck.
    Buesing L; Maass W
    Neural Comput; 2010 Aug; 22(8):1961-92. PubMed ID: 20337537
    [TBL] [Abstract][Full Text] [Related]  

  • 6. To spike, or when to spike?
    Gütig R
    Curr Opin Neurobiol; 2014 Apr; 25():134-9. PubMed ID: 24468508
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework.
    Li L; Park IM; Brockmeier A; Chen B; Seth S; Francis JT; Sanchez JC; Príncipe JC
    IEEE Trans Neural Syst Rehabil Eng; 2013 Jul; 21(4):532-43. PubMed ID: 22868633
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Phase-response approach to firing-rate selectivity in neurons with subthreshold oscillations.
    Sancristóbal B; Sancho JM; Garcia-Ojalvo J
    Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Oct; 82(4 Pt 1):041908. PubMed ID: 21230314
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Information encoding and computation with spikes and bursts.
    Kepecs A; Lisman J
    Network; 2003 Feb; 14(1):103-18. PubMed ID: 12613553
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Synaptic transmission of chaotic spike trains between primary afferent fiber and spinal dorsal horn neuron in the rat.
    Wan YH; Jian Z; Wen ZH; Wang YY; Han S; Duan YB; Xing JL; Zhu JL; Hu SJ
    Neuroscience; 2004; 125(4):1051-60. PubMed ID: 15120864
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of autaptic activity on the response of a Hodgkin-Huxley neuron.
    Wang H; Wang L; Chen Y; Chen Y
    Chaos; 2014 Sep; 24(3):033122. PubMed ID: 25273202
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Rate-synchrony relationship between input and output of spike trains in neuronal networks.
    Wang S; Zhou C
    Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Jan; 81(1 Pt 1):011917. PubMed ID: 20365409
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved similarity measures for small sets of spike trains.
    Naud R; Gerhard F; Mensi S; Gerstner W
    Neural Comput; 2011 Dec; 23(12):3016-69. PubMed ID: 21919785
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Digital spiking neuron and its learning for approximation of various spike-trains.
    Torikai H; Funew A; Saito T
    Neural Netw; 2008; 21(2-3):140-9. PubMed ID: 18272333
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The information efficacy of a synapse.
    London M; Schreibman A; Häusser M; Larkum ME; Segev I
    Nat Neurosci; 2002 Apr; 5(4):332-40. PubMed ID: 11896396
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity--strengthening correlated input pathways.
    Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL
    Biol Cybern; 2009 Aug; 101(2):81-102. PubMed ID: 19536560
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons.
    Svirskis G; Rinzel J
    Biophys J; 2000 Aug; 79(2):629-37. PubMed ID: 10919997
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A biophysical basis for the inter-spike interaction of spike-timing-dependent plasticity.
    Shah NT; Yeung LC; Cooper LN; Cai Y; Shouval HZ
    Biol Cybern; 2006 Aug; 95(2):113-21. PubMed ID: 16691393
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating nonstationary input signals from a single neuronal spike train.
    Kim H; Shinomoto S
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Nov; 86(5 Pt 1):051903. PubMed ID: 23214810
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.