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 *

262 related articles for article (PubMed ID: 31499797)

  • 1. Stochastic neural fields as gradient dynamical systems.
    Bressloff PC; Carroll SR
    Phys Rev E; 2019 Jul; 100(1-1):012402. PubMed ID: 31499797
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Distinct Excitatory and Inhibitory Bump Wandering in a Stochastic Neural Field.
    Cihak HL; Eissa TL; Kilpatrick ZP
    SIAM J Appl Dyn Syst; 2022; 21(4):2579-2609. PubMed ID: 38250343
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cholinergic Neuromodulation of Prefrontal Attractor Dynamics Controls Performance in Spatial Working Memory.
    Mahrach A; Bestue D; Qi XL; Constantinidis C; Compte A
    J Neurosci; 2024 Jun; 44(23):. PubMed ID: 38641409
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Design of continuous attractor networks with monotonic tuning using a symmetry principle.
    Machens CK; Brody CD
    Neural Comput; 2008 Feb; 20(2):452-85. PubMed ID: 18047414
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory.
    Wimmer K; Nykamp DQ; Constantinidis C; Compte A
    Nat Neurosci; 2014 Mar; 17(3):431-9. PubMed ID: 24487232
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Encoding certainty in bump attractors.
    Carroll S; Josić K; Kilpatrick ZP
    J Comput Neurosci; 2014 Aug; 37(1):29-48. PubMed ID: 24271061
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stochastic neural field model of stimulus-dependent variability in cortical neurons.
    Bressloff PC
    PLoS Comput Biol; 2019 Mar; 15(3):e1006755. PubMed ID: 30883546
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Stationary bumps in networks of spiking neurons.
    Laing CR; Chow CC
    Neural Comput; 2001 Jul; 13(7):1473-94. PubMed ID: 11440594
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sensory feedback in a bump attractor model of path integration.
    Poll DB; Nguyen K; Kilpatrick ZP
    J Comput Neurosci; 2016 Apr; 40(2):137-55. PubMed ID: 26754972
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A dynamic neural field model of continuous input integration.
    Wojtak W; Coombes S; Avitabile D; Bicho E; Erlhagen W
    Biol Cybern; 2021 Oct; 115(5):451-471. PubMed ID: 34417880
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Background-activity-dependent properties of a network model for working memory that incorporates cellular bistability.
    Fall CP; Lewis TJ; Rinzel J
    Biol Cybern; 2005 Aug; 93(2):109-18. PubMed ID: 15806392
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Minimally dependent activity subspaces for working memory and motor preparation in the lateral prefrontal cortex.
    Tang C; Herikstad R; Parthasarathy A; Libedinsky C; Yen SC
    Elife; 2020 Sep; 9():. PubMed ID: 32902383
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Interareal coupling reduces encoding variability in multi-area models of spatial working memory.
    Kilpatrick ZP
    Front Comput Neurosci; 2013; 7():82. PubMed ID: 23898260
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A stochastic-field description of finite-size spiking neural networks.
    Dumont G; Payeur A; Longtin A
    PLoS Comput Biol; 2017 Aug; 13(8):e1005691. PubMed ID: 28787447
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cholinergic neuromodulation of prefrontal attractor dynamics controls performance in spatial working memory.
    Mahrach A; Bestue D; Qi XL; Constantinidis C; Compte A
    bioRxiv; 2024 Jan; ():. PubMed ID: 38293215
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A working memory model based on fast Hebbian learning.
    Sandberg A; Tegnér J; Lansner A
    Network; 2003 Nov; 14(4):789-802. PubMed ID: 14653503
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Spontaneous motion on two-dimensional continuous attractors.
    Fung CC; Amari SI
    Neural Comput; 2015 Mar; 27(3):507-47. PubMed ID: 25602773
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Stability of working memory in continuous attractor networks under the control of short-term plasticity.
    Seeholzer A; Deger M; Gerstner W
    PLoS Comput Biol; 2019 Apr; 15(4):e1006928. PubMed ID: 31002672
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiple bumps can enhance robustness to noise in continuous attractor networks.
    Wang R; Kang L
    PLoS Comput Biol; 2022 Oct; 18(10):e1010547. PubMed ID: 36215305
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.