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 *

128 related articles for article (PubMed ID: 35706193)

  • 1. Storage capacity of networks with discrete synapses and sparsely encoded memories.
    Feng Y; Brunel N
    Phys Rev E; 2022 May; 105(5-1):054408. PubMed ID: 35706193
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Attractor neural networks with double well synapses.
    Feng Y; Brunel N
    PLoS Comput Biol; 2024 Feb; 20(2):e1011354. PubMed ID: 38324630
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Memory capacity of networks with stochastic binary synapses.
    Dubreuil AM; Amit Y; Brunel N
    PLoS Comput Biol; 2014 Aug; 10(8):e1003727. PubMed ID: 25101662
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Memory capacity for sequences in a recurrent network with biological constraints.
    Leibold C; Kempter R
    Neural Comput; 2006 Apr; 18(4):904-41. PubMed ID: 16494695
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory.
    Knoblauch A; Palm G
    Neural Comput; 2020 Jan; 32(1):205-260. PubMed ID: 31703176
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Effect of dilution in asymmetric recurrent neural networks.
    Folli V; Gosti G; Leonetti M; Ruocco G
    Neural Netw; 2018 Aug; 104():50-59. PubMed ID: 29705670
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Selective connectivity enhances storage capacity in attractor models of memory function.
    Emina F; Kropff E
    Front Syst Neurosci; 2022; 16():983147. PubMed ID: 36185821
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Sparsely Connected, Hebbian Networks with Strikingly Large Storage Capacities.
    BOOS W; VOGEL DD
    Neural Netw; 1997 Jun; 10(4):671-682. PubMed ID: 12662862
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The self-trapping attractor neural network--part II: properties of a sparsely connected model storing multiple memories.
    Pavloski R; Karimi M
    IEEE Trans Neural Netw; 2005 Nov; 16(6):1427-39. PubMed ID: 16342485
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Optimal learning rules for discrete synapses.
    Barrett AB; van Rossum MC
    PLoS Comput Biol; 2008 Nov; 4(11):e1000230. PubMed ID: 19043540
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A modular attractor associative memory with patchy connectivity and weight pruning.
    Meli C; Lansner A
    Network; 2013; 24(4):129-50. PubMed ID: 24251411
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Neural associative memory with optimal Bayesian learning.
    Knoblauch A
    Neural Comput; 2011 Jun; 23(6):1393-451. PubMed ID: 21395440
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Efficient supervised learning in networks with binary synapses.
    Baldassi C; Braunstein A; Brunel N; Zecchina R
    Proc Natl Acad Sci U S A; 2007 Jun; 104(26):11079-84. PubMed ID: 17581884
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Storage of Phase-Coded Patterns via STDP in Fully-Connected and Sparse Network: A Study of the Network Capacity.
    Scarpetta S; de Candia A; Giacco F
    Front Synaptic Neurosci; 2010; 2():32. PubMed ID: 21423518
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimal Hebbian learning rules and the role of asymmetry.
    Stariolo DA; Tsallis C
    Int J Neural Syst; 1994 Jun; 5(2):123-9. PubMed ID: 7812500
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Precise capacity analysis in binary networks with multiple coding level inputs.
    Amit Y; Huang Y
    Neural Comput; 2010 Mar; 22(3):660-88. PubMed ID: 19842984
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Efficient Associative Computation with Discrete Synapses.
    Knoblauch A
    Neural Comput; 2016 Jan; 28(1):118-86. PubMed ID: 26599711
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.