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 *

160 related articles for article (PubMed ID: 30723397)

  • 1. Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models.
    Doruk RO; Zhang K
    Front Neural Circuits; 2018; 12():119. PubMed ID: 30723397
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fitting of dynamic recurrent neural network models to sensory stimulus-response data.
    Doruk RO; Zhang K
    J Biol Phys; 2018 Sep; 44(3):449-469. PubMed ID: 29860641
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Total spiking probability edges: A cross-correlation based method for effective connectivity estimation of cortical spiking neurons.
    De Blasi S; Ciba M; Bahmer A; Thielemann C
    J Neurosci Methods; 2019 Jan; 312():169-181. PubMed ID: 30500352
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sequential optimal design of neurophysiology experiments.
    Lewi J; Butera R; Paninski L
    Neural Comput; 2009 Mar; 21(3):619-87. PubMed ID: 18928364
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of time-varying neural dynamics from spike train data using multiwavelet basis functions.
    Xu S; Li Y; Guo Q; Yang XF; Chan RHM
    J Neurosci Methods; 2017 Feb; 278():46-56. PubMed ID: 28062244
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modeling stimulus-dependent variability improves decoding of population neural responses.
    Ghanbari A; Lee CM; Read HL; Stevenson IH
    J Neural Eng; 2019 Oct; 16(6):066018. PubMed ID: 31404915
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The effects of spontaneous activity, background noise, and the stimulus ensemble on information transfer in neurons.
    Chacron MJ; Longtin A; Maler L
    Network; 2003 Nov; 14(4):803-24. PubMed ID: 14653504
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adaptive stimulus optimization for sensory systems neuroscience.
    DiMattina C; Zhang K
    Front Neural Circuits; 2013; 7():101. PubMed ID: 23761737
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons.
    Mazzoni A; Panzeri S; Logothetis NK; Brunel N
    PLoS Comput Biol; 2008 Dec; 4(12):e1000239. PubMed ID: 19079571
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Spike-based population coding and working memory.
    Boerlin M; Denève S
    PLoS Comput Biol; 2011 Feb; 7(2):e1001080. PubMed ID: 21379319
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Active data collection for efficient estimation and comparison of nonlinear neural models.
    DiMattina C; Zhang K
    Neural Comput; 2011 Sep; 23(9):2242-88. PubMed ID: 21671794
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the relation between encoding and decoding of neuronal spikes.
    Koyama S
    Neural Comput; 2012 Jun; 24(6):1408-25. PubMed ID: 22364502
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neurons.
    Li K; Ditlevsen S
    PLoS One; 2019; 14(5):e0216322. PubMed ID: 31086375
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating spiking irregularities under changing environments.
    Miura K; Okada M; Amari S
    Neural Comput; 2006 Oct; 18(10):2359-86. PubMed ID: 16907630
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS).
    Ahmadi N; Constandinou TG; Bouganis CS
    PLoS One; 2018; 13(11):e0206794. PubMed ID: 30462665
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity.
    Zaytsev YV; Morrison A; Deger M
    J Comput Neurosci; 2015 Aug; 39(1):77-103. PubMed ID: 26041729
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Statistical models for neural encoding, decoding, and optimal stimulus design.
    Paninski L; Pillow J; Lewi J
    Prog Brain Res; 2007; 165():493-507. PubMed ID: 17925266
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks.
    Cavallari S; Panzeri S; Mazzoni A
    Front Neural Circuits; 2014; 8():12. PubMed ID: 24634645
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating latency from inhibitory input.
    Levakova M; Ditlevsen S; Lansky P
    Biol Cybern; 2014 Aug; 108(4):475-93. PubMed ID: 24962079
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interpretation of correlated neural variability from models of feed-forward and recurrent circuits.
    Pernice V; da Silveira RA
    PLoS Comput Biol; 2018 Feb; 14(2):e1005979. PubMed ID: 29408930
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.