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 *

121 related articles for article (PubMed ID: 29895972)

  • 1. E-I balance emerges naturally from continuous Hebbian learning in autonomous neural networks.
    Trapp P; Echeveste R; Gros C
    Sci Rep; 2018 Jun; 8(1):8939. PubMed ID: 29895972
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Partial Breakdown of Input Specificity of STDP at Individual Synapses Promotes New Learning.
    Volgushev M; Chen JY; Ilin V; Goz R; Chistiakova M; Bazhenov M
    J Neurosci; 2016 Aug; 36(34):8842-55. PubMed ID: 27559167
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Drifting States and Synchronization Induced Chaos in Autonomous Networks of Excitable Neurons.
    Echeveste R; Gros C
    Front Comput Neurosci; 2016; 10():98. PubMed ID: 27708572
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences.
    Bouchard KE; Ganguli S; Brainard MS
    Front Comput Neurosci; 2015; 9():92. PubMed ID: 26257637
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Emergence of Irregular Activity in Networks of Strongly Coupled Conductance-Based Neurons.
    Sanzeni A; Histed MH; Brunel N
    Phys Rev X; 2022; 12(1):. PubMed ID: 35923858
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Unsupervised Learning of Persistent and Sequential Activity.
    Pereira U; Brunel N
    Front Comput Neurosci; 2019; 13():97. PubMed ID: 32009924
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Chaos in neuronal networks with balanced excitatory and inhibitory activity.
    van Vreeswijk C; Sompolinsky H
    Science; 1996 Dec; 274(5293):1724-6. PubMed ID: 8939866
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Selective inhibition of excitatory synaptic transmission alters the emergent bursting dynamics of
    Weir JS; Christiansen N; Sandvig A; Sandvig I
    Front Neural Circuits; 2023; 17():1020487. PubMed ID: 36874945
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity.
    Rubin R; Abbott LF; Sompolinsky H
    Proc Natl Acad Sci U S A; 2017 Oct; 114(44):E9366-E9375. PubMed ID: 29042519
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network.
    Hartmann C; Lazar A; Nessler B; Triesch J
    PLoS Comput Biol; 2015 Dec; 11(12):e1004640. PubMed ID: 26714277
    [TBL] [Abstract][Full Text] [Related]  

  • 13. All for One But Not One for All: Excitatory Synaptic Scaling and Intrinsic Excitability Are Coregulated by CaMKIV, Whereas Inhibitory Synaptic Scaling Is Under Independent Control.
    Joseph A; Turrigiano GG
    J Neurosci; 2017 Jul; 37(28):6778-6785. PubMed ID: 28592691
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks.
    Vogels TP; Sprekeler H; Zenke F; Clopath C; Gerstner W
    Science; 2011 Dec; 334(6062):1569-73. PubMed ID: 22075724
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intrinsic adaptation in autonomous recurrent neural networks.
    Marković D; Gros C
    Neural Comput; 2012 Feb; 24(2):523-40. PubMed ID: 22091667
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cortical network modeling: analytical methods for firing rates and some properties of networks of LIF neurons.
    Tuckwell HC
    J Physiol Paris; 2006; 100(1-3):88-99. PubMed ID: 17064883
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Statistical mechanics of reward-modulated learning in decision-making networks.
    Katahira K; Okanoya K; Okada M
    Neural Comput; 2012 May; 24(5):1230-70. PubMed ID: 22295982
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Slow diffusive dynamics in a chaotic balanced neural network.
    Shaham N; Burak Y
    PLoS Comput Biol; 2017 May; 13(5):e1005505. PubMed ID: 28459813
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural Networks.
    Panda P; Roy K
    Front Neurosci; 2017; 11():693. PubMed ID: 29311774
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Joining distributed pattern processing and homeostatic plasticity in recurrent on-center off-surround shunting networks: noise, saturation, short-term memory, synaptic scaling, and BDNF.
    Chandler B; Grossberg S
    Neural Netw; 2012 Jan; 25(1):21-9. PubMed ID: 21890320
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.