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 *

191 related articles for article (PubMed ID: 3472233)

  • 21. Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.
    Kasabov N; Dhoble K; Nuntalid N; Indiveri G
    Neural Netw; 2013 May; 41():188-201. PubMed ID: 23340243
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Dimensional reduction for reward-based learning.
    Swinehart CD; Abbott LF
    Network; 2006 Sep; 17(3):235-52. PubMed ID: 17162613
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons.
    Siri B; Quoy M; Delord B; Cessac B; Berry H
    J Physiol Paris; 2007; 101(1-3):136-48. PubMed ID: 18042357
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Maturation-dependent control of vocal temporal plasticity in a songbird.
    Tachibana RO; Takahasi M; Hessler NA; Okanoya K
    Dev Neurobiol; 2017 Sep; 77(8):995-1006. PubMed ID: 28188699
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Sequential memory: a putative neural and synaptic dynamical mechanism.
    Deco G; Rolls ET
    J Cogn Neurosci; 2005 Feb; 17(2):294-307. PubMed ID: 15811241
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Hebbian errors in learning: an analysis using the Oja model.
    Rădulescu A; Cox K; Adams P
    J Theor Biol; 2009 Jun; 258(4):489-501. PubMed ID: 19248792
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding.
    Gardner B; Grüning A
    PLoS One; 2016; 11(8):e0161335. PubMed ID: 27532262
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Learning only when necessary: better memories of correlated patterns in networks with bounded synapses.
    Senn W; Fusi S
    Neural Comput; 2005 Oct; 17(10):2106-38. PubMed ID: 16105220
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Neuron as a reward-modulated combinatorial switch and a model of learning behavior.
    Rvachev MM
    Neural Netw; 2013 Oct; 46():62-74. PubMed ID: 23708671
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Memory from the dynamics of intrinsic membrane currents.
    Marder E; Abbott LF; Turrigiano GG; Liu Z; Golowasch J
    Proc Natl Acad Sci U S A; 1996 Nov; 93(24):13481-6. PubMed ID: 8942960
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Building a state space for song learning.
    Mackevicius EL; Fee MS
    Curr Opin Neurobiol; 2018 Apr; 49():59-68. PubMed ID: 29268193
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A distributed neural network model for the distinct roles of medial and lateral HVC in zebra finch song production.
    Galvis D; Wu W; Hyson RL; Johnson F; Bertram R
    J Neurophysiol; 2017 Aug; 118(2):677-692. PubMed ID: 28381490
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Silent synapses in a thalamo-cortical circuit necessary for song learning in zebra finches.
    Bottjer SW
    J Neurophysiol; 2005 Dec; 94(6):3698-707. PubMed ID: 16107531
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Supervised learning through neuronal response modulation.
    Swinehart CD; Abbott LF
    Neural Comput; 2005 Mar; 17(3):609-31. PubMed ID: 15802008
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Temporal spike pattern learning.
    Talathi SS; Abarbanel HD; Ditto WL
    Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Sep; 78(3 Pt 1):031918. PubMed ID: 18851076
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Reconciling the STDP and BCM models of synaptic plasticity in a spiking recurrent neural network.
    Bush D; Philippides A; Husbands P; O'Shea M
    Neural Comput; 2010 Aug; 22(8):2059-85. PubMed ID: 20438333
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Self-stabilization of neuronal networks. I. The compensation algorithm for synaptogenesis.
    Dammasch IE; Wagner GP; Wolff JR
    Biol Cybern; 1986; 54(4-5):211-22. PubMed ID: 3017460
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Learning real-world stimuli in a neural network with spike-driven synaptic dynamics.
    Brader JM; Senn W; Fusi S
    Neural Comput; 2007 Nov; 19(11):2881-912. PubMed ID: 17883345
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Binding and segmentation via a neural mass model trained with Hebbian and anti-Hebbian mechanisms.
    Cona F; Zavaglia M; Ursino M
    Int J Neural Syst; 2012 Apr; 22(2):1250003. PubMed ID: 23627589
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession.
    Wu Z; Yamaguchi Y
    Biol Cybern; 2004 Feb; 90(2):113-24. PubMed ID: 14999478
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.