BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

520 related articles for article (PubMed ID: 31431524)

  • 1. Robust computation with rhythmic spike patterns.
    Frady EP; Sommer FT
    Proc Natl Acad Sci U S A; 2019 Sep; 116(36):18050-18059. PubMed ID: 31431524
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Associative memory in networks of spiking neurons.
    Sommer FT; Wennekers T
    Neural Netw; 2001; 14(6-7):825-34. PubMed ID: 11665774
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Memory dynamics in attractor networks with saliency weights.
    Tang H; Li H; Yan R
    Neural Comput; 2010 Jul; 22(7):1899-926. PubMed ID: 20235821
    [TBL] [Abstract][Full Text] [Related]  

  • 5. On stability and associative recall of memories in attractor neural networks.
    Sampath S; Srivastava V
    PLoS One; 2020; 15(9):e0238054. PubMed ID: 32941475
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Network capacity analysis for latent attractor computation.
    Doboli S; Minai AA
    Network; 2003 May; 14(2):273-302. PubMed ID: 12790185
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A balanced memory network.
    Roudi Y; Latham PE
    PLoS Comput Biol; 2007 Sep; 3(9):1679-700. PubMed ID: 17845070
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spike-based population coding and working memory.
    Boerlin M; Denève S
    PLoS Comput Biol; 2011 Feb; 7(2):e1001080. PubMed ID: 21379319
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons.
    Huyck CR; Vergani AA
    J Comput Neurosci; 2020 Aug; 48(3):299-316. PubMed ID: 32715350
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Concatenated retrieval of correlated stored information in neural networks.
    de Almeida RM; Espinosa A; Idiart MA
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 1):041912. PubMed ID: 17155101
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation.
    Augustin M; Ladenbauer J; Baumann F; Obermayer K
    PLoS Comput Biol; 2017 Jun; 13(6):e1005545. PubMed ID: 28644841
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks.
    Devalle F; Roxin A; Montbrió E
    PLoS Comput Biol; 2017 Dec; 13(12):e1005881. PubMed ID: 29287081
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Rapid local synchronization of action potentials: toward computation with coupled integrate-and-fire neurons.
    Hopfield JJ; Herz AV
    Proc Natl Acad Sci U S A; 1995 Jul; 92(15):6655-62. PubMed ID: 7624307
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Associative memory of phase-coded spatiotemporal patterns in leaky Integrate and Fire networks.
    Scarpetta S; Giacco F
    J Comput Neurosci; 2013 Apr; 34(2):319-36. PubMed ID: 23053861
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Stable propagation of synchronous spiking in cortical neural networks.
    Diesmann M; Gewaltig MO; Aertsen A
    Nature; 1999 Dec; 402(6761):529-33. PubMed ID: 10591212
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pattern separation and synchronization in spiking associative memories and visual areas.
    Knoblauch A; Palm G
    Neural Netw; 2001; 14(6-7):763-80. PubMed ID: 11665769
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Continuous attractor network models of grid cell firing based on excitatory-inhibitory interactions.
    Shipston-Sharman O; Solanka L; Nolan MF
    J Physiol; 2016 Nov; 594(22):6547-6557. PubMed ID: 27870120
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Overview of facts and issues about neural coding by spikes.
    Cessac B; Paugam-Moisy H; Viéville T
    J Physiol Paris; 2010; 104(1-2):5-18. PubMed ID: 19925865
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks.
    Alemi A; Baldassi C; Brunel N; Zecchina R
    PLoS Comput Biol; 2015 Aug; 11(8):e1004439. PubMed ID: 26291608
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Associative memory in quaternionic Hopfield neural network.
    Isokawa T; Nishimura H; Kamiura N; Matsui N
    Int J Neural Syst; 2008 Apr; 18(2):135-45. PubMed ID: 18452247
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.