BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

406 related articles for article (PubMed ID: 28505854)

  • 1. Mean-field equations for neuronal networks with arbitrary degree distributions.
    Nykamp DQ; Friedman D; Shaker S; Shinn M; Vella M; Compte A; Roxin A
    Phys Rev E; 2017 Apr; 95(4-1):042323. PubMed ID: 28505854
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies.
    Kitano K; Fukai T
    J Comput Neurosci; 2007 Oct; 23(2):237-50. PubMed ID: 17415629
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Recurrent interactions in spiking networks with arbitrary topology.
    Pernice V; Staude B; Cardanobile S; Rotter S
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Mar; 85(3 Pt 1):031916. PubMed ID: 22587132
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dichotomous Dynamics in E-I Networks with Strongly and Weakly Intra-connected Inhibitory Neurons.
    Rich S; Zochowski M; Booth V
    Front Neural Circuits; 2017; 11():104. PubMed ID: 29326558
    [TBL] [Abstract][Full Text] [Related]  

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

  • 6. Mean-driven and fluctuation-driven persistent activity in recurrent networks.
    Renart A; Moreno-Bote R; Wang XJ; Parga N
    Neural Comput; 2007 Jan; 19(1):1-46. PubMed ID: 17134316
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cortical attractor network dynamics with diluted connectivity.
    Rolls ET; Webb TJ
    Brain Res; 2012 Jan; 1434():212-25. PubMed ID: 21875702
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges.
    Geisler C; Brunel N; Wang XJ
    J Neurophysiol; 2005 Dec; 94(6):4344-61. PubMed ID: 16093332
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick.
    Rost T; Deger M; Nawrot MP
    Biol Cybern; 2018 Apr; 112(1-2):81-98. PubMed ID: 29075845
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Total spiking probability edges: A cross-correlation based method for effective connectivity estimation of cortical spiking neurons.
    De Blasi S; Ciba M; Bahmer A; Thielemann C
    J Neurosci Methods; 2019 Jan; 312():169-181. PubMed ID: 30500352
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Sequentially switching cell assemblies in random inhibitory networks of spiking neurons in the striatum.
    Ponzi A; Wickens J
    J Neurosci; 2010 Apr; 30(17):5894-911. PubMed ID: 20427650
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Population equations for degree-heterogenous neural networks.
    Kähne M; Sokolov IM; Rüdiger S
    Phys Rev E; 2017 Nov; 96(5-1):052306. PubMed ID: 29347732
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Connection-type-specific biases make uniform random network models consistent with cortical recordings.
    Tomm C; Avermann M; Petersen C; Gerstner W; Vogels TP
    J Neurophysiol; 2014 Oct; 112(8):1801-14. PubMed ID: 24944218
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks.
    Jovanović S; Rotter S
    PLoS Comput Biol; 2016 Jun; 12(6):e1004963. PubMed ID: 27271768
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inhibitory connectivity defines the realm of excitatory plasticity.
    Mongillo G; Rumpel S; Loewenstein Y
    Nat Neurosci; 2018 Oct; 21(10):1463-1470. PubMed ID: 30224809
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Response variability in balanced cortical networks.
    Lerchner A; Ursta C; Hertz J; Ahmadi M; Ruffiot P; Enemark S
    Neural Comput; 2006 Mar; 18(3):634-59. PubMed ID: 16483411
    [TBL] [Abstract][Full Text] [Related]  

  • 18. From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity.
    Fletcher JM; Wennekers T
    Int J Neural Syst; 2018 Mar; 28(2):1750013. PubMed ID: 28076982
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detecting single-cell stimulation in a large network of integrate-and-fire neurons.
    Bernardi D; Lindner B
    Phys Rev E; 2019 Mar; 99(3-1):032304. PubMed ID: 30999410
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Oscillations in large-scale cortical networks: map-based model.
    Rulkov NF; Timofeev I; Bazhenov M
    J Comput Neurosci; 2004; 17(2):203-23. PubMed ID: 15306740
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.