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 *

213 related articles for article (PubMed ID: 24139652)

  • 1. Realistic modeling of neurons and networks: towards brain simulation.
    D'Angelo E; Solinas S; Garrido J; Casellato C; Pedrocchi A; Mapelli J; Gandolfi D; Prestori F
    Funct Neurol; 2013; 28(3):153-66. PubMed ID: 24139652
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation.
    Anderson WS; Kudela P; Weinberg S; Bergey GK; Franaszczuk PJ
    Epilepsy Res; 2009 Mar; 84(1):42-55. PubMed ID: 19185465
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Constructing Precisely Computing Networks with Biophysical Spiking Neurons.
    Schwemmer MA; Fairhall AL; Denéve S; Shea-Brown ET
    J Neurosci; 2015 Jul; 35(28):10112-34. PubMed ID: 26180189
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics.
    Shine JM; Müller EJ; Munn B; Cabral J; Moran RJ; Breakspear M
    Nat Neurosci; 2021 Jun; 24(6):765-776. PubMed ID: 33958801
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Neuronal competition: microcircuit mechanisms define the sparsity of the engram.
    Rao-Ruiz P; Yu J; Kushner SA; Josselyn SA
    Curr Opin Neurobiol; 2019 Feb; 54():163-170. PubMed ID: 30423499
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Time-scale invariance as an emergent property in a perceptron with realistic, noisy neurons.
    Buhusi CV; Oprisan SA
    Behav Processes; 2013 May; 95():60-70. PubMed ID: 23518297
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Nonperiodic synchronization in heterogeneous networks of spiking neurons.
    Thivierge JP; Cisek P
    J Neurosci; 2008 Aug; 28(32):7968-78. PubMed ID: 18685022
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Real-time simulation of biologically realistic stochastic neurons in VLSI.
    Chen H; Saighi S; Buhry L; Renaud S
    IEEE Trans Neural Netw; 2010 Sep; 21(9):1511-7. PubMed ID: 20570768
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Human-scale Brain Simulation via Supercomputer: A Case Study on the Cerebellum.
    Yamazaki T; Igarashi J; Yamaura H
    Neuroscience; 2021 May; 462():235-246. PubMed ID: 33482329
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The composite neuron: a realistic one-compartment Purkinje cell model suitable for large-scale neuronal network simulations.
    Coop AD; Reeke GN
    J Comput Neurosci; 2001; 10(2):173-86. PubMed ID: 11361257
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effects of random external background stimulation on network synaptic stability after tetanization: a modeling study.
    Chao ZC; Bakkum DJ; Wagenaar DA; Potter SM
    Neuroinformatics; 2005; 3(3):263-80. PubMed ID: 16077162
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification models of the nervous system.
    Zipser D
    Neuroscience; 1992; 47(4):853-62. PubMed ID: 1579214
    [TBL] [Abstract][Full Text] [Related]  

  • 15. How to find decision makers in neural networks.
    Koulakov AA; Rinberg DA; Tsigankov DN
    Biol Cybern; 2005 Dec; 93(6):447-62. PubMed ID: 16273385
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dynamics of recurrent neural networks with delayed unreliable synapses: metastable clustering.
    Friedrich J; Kinzel W
    J Comput Neurosci; 2009 Aug; 27(1):65-80. PubMed ID: 19082700
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Neural population modes capture biologically realistic large scale network dynamics.
    Jirsa VK; Stefanescu RA
    Bull Math Biol; 2011 Feb; 73(2):325-43. PubMed ID: 20821061
    [TBL] [Abstract][Full Text] [Related]  

  • 18. How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?
    Grabska-Barwińska A; Latham PE
    J Comput Neurosci; 2014 Jun; 36(3):469-81. PubMed ID: 24091644
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computational aspects of feedback in neural circuits.
    Maass W; Joshi P; Sontag ED
    PLoS Comput Biol; 2007 Jan; 3(1):e165. PubMed ID: 17238280
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Model-Driven Analysis of Eyeblink Classical Conditioning Reveals the Underlying Structure of Cerebellar Plasticity and Neuronal Activity.
    Antonietti A; Casellato C; D'Angelo E; Pedrocchi A
    IEEE Trans Neural Netw Learn Syst; 2017 Nov; 28(11):2748-2762. PubMed ID: 27608482
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.