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 *

190 related articles for article (PubMed ID: 2813363)

  • 1. Associative memory neural network with low temporal spiking rates.
    Amit DJ; Treves A
    Proc Natl Acad Sci U S A; 1989 Oct; 86(20):7871-5. PubMed ID: 2813363
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A model of cortical memory processing based on columnar organization.
    Fukai T
    Biol Cybern; 1994; 70(5):427-34. PubMed ID: 8186303
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dynamics of the CA3 pyramidal neuron autoassociative memory network in the hippocampus.
    Bennett MR; Gibson WG; Robinson J
    Philos Trans R Soc Lond B Biol Sci; 1994 Jan; 343(1304):167-87. PubMed ID: 8146234
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Associative neural network model for the generation of temporal patterns. Theory and application to central pattern generators.
    Kleinfeld D; Sompolinsky H
    Biophys J; 1988 Dec; 54(6):1039-51. PubMed ID: 3233265
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A hierarchical neural network model for associative memory.
    Fukushima K
    Biol Cybern; 1984; 50(2):105-13. PubMed ID: 6722206
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A model of cortical associative memory based on a horizontal network of connected columns.
    Fransén E; Lansner A
    Network; 1998 May; 9(2):235-64. PubMed ID: 9861988
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns.
    Gerstner W; Ritz R; van Hemmen JL
    Biol Cybern; 1993; 69(5-6):503-15. PubMed ID: 7903867
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network.
    Herman PA; Lundqvist M; Lansner A
    Brain Res; 2013 Nov; 1536():68-87. PubMed ID: 23939226
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Orientation tuning properties of simple cells in area V1 derived from an approximate analysis of nonlinear neural field models.
    Wennekers T
    Neural Comput; 2001 Aug; 13(8):1721-47. PubMed ID: 11506668
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Control of computational dynamics of coupled integrate-and-fire neurons.
    Cartling B
    Biol Cybern; 1997 May; 76(5):383-95. PubMed ID: 9237364
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Synchronous neural networks of nonlinear threshold elements with hysteresis.
    Wang L; Ross J
    Proc Natl Acad Sci U S A; 1990 Feb; 87(3):988-92. PubMed ID: 2300589
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nonbinary associative memory with exponential pattern retrieval capacity and iterative learning.
    Salavati AH; Kumar KR; Shokrollahi A
    IEEE Trans Neural Netw Learn Syst; 2014 Mar; 25(3):557-70. PubMed ID: 24807451
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Neuronal mechanisms encoding global-to-fine information in inferior-temporal cortex.
    Matsumoto N; Okada M; Sugase-Miyamoto Y; Yamane S
    J Comput Neurosci; 2005; 18(1):85-103. PubMed ID: 15789171
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Estimating network parameters from combined dynamics of firing rate and irregularity of single neurons.
    Hamaguchi K; Riehle A; Brunel N
    J Neurophysiol; 2011 Jan; 105(1):487-500. PubMed ID: 20719928
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Control of the complexity of associative memory dynamics by neuronal adaptation.
    Cartling B
    Int J Neural Syst; 1993 Jun; 4(2):129-41. PubMed ID: 8044374
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Noise in Neurons and Synapses Enables Reliable Associative Memory Storage in Local Cortical Circuits.
    Zhang C; Zhang D; Stepanyants A
    eNeuro; 2021; 8(1):. PubMed ID: 33408153
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.