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 *

446 related articles for article (PubMed ID: 17629781)

  • 1. Simulation of networks of spiking neurons: a review of tools and strategies.
    Brette R; Rudolph M; Carnevale T; Hines M; Beeman D; Bower JM; Diesmann M; Morrison A; Goodman PH; Harris FC; Zirpe M; Natschläger T; Pecevski D; Ermentrout B; Djurfeldt M; Lansner A; Rochel O; Vieville T; Muller E; Davison AP; El Boustani S; Destexhe A
    J Comput Neurosci; 2007 Dec; 23(3):349-98. PubMed ID: 17629781
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PAX: A mixed hardware/software simulation platform for spiking neural networks.
    Renaud S; Tomas J; Lewis N; Bornat Y; Daouzli A; Rudolph M; Destexhe A; Saïghi S
    Neural Netw; 2010 Sep; 23(7):905-16. PubMed ID: 20434309
    [TBL] [Abstract][Full Text] [Related]  

  • 3. HRLSim: a high performance spiking neural network simulator for GPGPU clusters.
    Minkovich K; Thibeault CM; O'Brien MJ; Nogin A; Cho Y; Srinivasa N
    IEEE Trans Neural Netw Learn Syst; 2014 Feb; 25(2):316-31. PubMed ID: 24807031
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Macroscopic equations governing noisy spiking neuronal populations with linear synapses.
    Galtier MN; Touboul J
    PLoS One; 2013; 8(11):e78917. PubMed ID: 24236067
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neurons.
    Taillefumier T; Touboul J; Magnasco M
    Neural Comput; 2012 Dec; 24(12):3145-80. PubMed ID: 22845823
    [TBL] [Abstract][Full Text] [Related]  

  • 6. In vitro 2-D networks of neurons characterized by processing the signals recorded with a planar microtransducer array.
    Bove M; Grattarola M; Verreschi G
    IEEE Trans Biomed Eng; 1997 Oct; 44(10):964-77. PubMed ID: 9311166
    [TBL] [Abstract][Full Text] [Related]  

  • 7. iSpike: a spiking neural interface for the iCub robot.
    Gamez D; Fidjeland AK; Lazdins E
    Bioinspir Biomim; 2012 Jun; 7(2):025008. PubMed ID: 22617339
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Silicon modeling of the Mihalaş-Niebur neuron.
    Folowosele F; Hamilton TJ; Etienne-Cummings R
    IEEE Trans Neural Netw; 2011 Dec; 22(12):1915-27. PubMed ID: 21990331
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Vectorized algorithms for spiking neural network simulation.
    Brette R; Goodman DF
    Neural Comput; 2011 Jun; 23(6):1503-35. PubMed ID: 21395437
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Toward unified hybrid simulation techniques for spiking neural networks.
    D'Haene M; Hermans M; Schrauwen B
    Neural Comput; 2014 Jun; 26(6):1055-79. PubMed ID: 24684451
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accelerating event-driven simulation of spiking neurons with multiple synaptic time constants.
    D'Haene M; Schrauwen B; Van Campenhout J; Stroobandt D
    Neural Comput; 2009 Apr; 21(4):1068-99. PubMed ID: 18928367
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies.
    Rudolph M; Destexhe A
    Neural Comput; 2006 Sep; 18(9):2146-210. PubMed ID: 16846390
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.
    Taherkhani A; Belatreche A; Li Y; Maguire LP
    IEEE Trans Neural Netw Learn Syst; 2015 Dec; 26(12):3137-49. PubMed ID: 25794401
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Modeling neuronal assemblies: theory and implementation.
    Eggert J; van Hemmen JL
    Neural Comput; 2001 Sep; 13(9):1923-74. PubMed ID: 11516352
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analog-digital simulations of full conductance-based networks of spiking neurons with spike timing dependent plasticity.
    Zou Q; Bornat Y; Saïghi S; Tomas J; Renaud S; Destexhe A
    Network; 2006 Sep; 17(3):211-33. PubMed ID: 17162612
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A new synaptic plasticity rule for networks of spiking neurons.
    Swiercz W; Cios KJ; Staley K; Kurgan L; Accurso F; Sagel S
    IEEE Trans Neural Netw; 2006 Jan; 17(1):94-105. PubMed ID: 16526479
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors.
    Nageswaran JM; Dutt N; Krichmar JL; Nicolau A; Veidenbaum AV
    Neural Netw; 2009; 22(5-6):791-800. PubMed ID: 19615853
    [TBL] [Abstract][Full Text] [Related]  

  • 18. On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks.
    Kaabi MG; Tonnelier A; Martinez D
    Neural Comput; 2011 May; 23(5):1187-204. PubMed ID: 21299420
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Electrical coupling induces bistability of rhythms in networks of inhibitory spiking neurons.
    Bem T; Le Feuvre Y; Rinzel J; Meyrand P
    Eur J Neurosci; 2005 Nov; 22(10):2661-8. PubMed ID: 16307609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Event-driven simulations of a plastic, spiking neural network.
    Chen CC; Jasnow D
    Phys Rev E Stat Nonlin Soft Matter Phys; 2011 Sep; 84(3 Pt 1):031908. PubMed ID: 22060404
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.