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 *

96 related articles for article (PubMed ID: 30440948)

  • 1. An Information-Theoretic Measure of Multiscale Causality for Spike-Field Activity.
    Wang C; Shanechi MM
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2631-2634. PubMed ID: 30440948
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks.
    Wang C; Shanechi MM
    IEEE Trans Neural Syst Rehabil Eng; 2019 May; 27(5):857-866. PubMed ID: 30932842
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling multiscale causal interactions between spiking and field potential signals during behavior.
    Wang C; Pesaran B; Shanechi MM
    J Neural Eng; 2022 Mar; 19(2):. PubMed ID: 35073530
    [No Abstract]   [Full Text] [Related]  

  • 4. Multiscale modeling and decoding algorithms for spike-field activity.
    Hsieh HL; Wong YT; Pesaran B; Shanechi MM
    J Neural Eng; 2019 Feb; 16(1):016018. PubMed ID: 30523833
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spike-field Granger causality for hybrid neural data analysis.
    Gong X; Li W; Liang H
    J Neurophysiol; 2019 Aug; 122(2):809-822. PubMed ID: 31242046
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimating the directed information to infer causal relationships in ensemble neural spike train recordings.
    Quinn CJ; Coleman TP; Kiyavash N; Hatsopoulos NG
    J Comput Neurosci; 2011 Feb; 30(1):17-44. PubMed ID: 20582566
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sparse model-based estimation of functional dependence in high-dimensional field and spike multiscale networks.
    Bighamian R; Wong YT; Pesaran B; Shanechi MM
    J Neural Eng; 2019 Sep; 16(5):056022. PubMed ID: 31100751
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Multiscale Dynamical Modeling and Identification Framework for Spike-Field Activity.
    Abbaspourazad H; Hsieh HL; Shanechi MM
    IEEE Trans Neural Syst Rehabil Eng; 2019 Jun; 27(6):1128-1138. PubMed ID: 31021802
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Joint analysis of spikes and local field potentials using copula.
    Hu M; Li M; Li W; Liang H
    Neuroimage; 2016 Jun; 133():457-467. PubMed ID: 27012500
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Granger causality measure for point process models of ensemble neural spiking activity.
    Kim S; Putrino D; Ghosh S; Brown EN
    PLoS Comput Biol; 2011 Mar; 7(3):e1001110. PubMed ID: 21455283
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Efficient Estimation of Directed Connectivity in Nonlinear and Nonstationary Spiking Neuron Networks.
    Chen W; Wang Y; Yang Y
    IEEE Trans Biomed Eng; 2024 Mar; 71(3):841-854. PubMed ID: 37756180
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Empirical Bayesian significance measure of neuronal spike response.
    Oba S; Nakae K; Ikegaya Y; Aki S; Yoshimoto J; Ishii S
    BMC Neurosci; 2016 May; 17(1):27. PubMed ID: 27209433
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessing directed information as a method for inferring functional connectivity in neural ensembles.
    So K; Gastpar M; Carmena JM
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7324-7. PubMed ID: 22256030
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimation of Functional Dependence in High-Dimensional Spike-Field Activity.
    Bighamian R; Shanechi MM
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2635-2638. PubMed ID: 30440949
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Empirical Model for Reliable Spiking Activity.
    Wang W; Tripathy SJ; Padmanabhan K; Urban NN; Kass RE
    Neural Comput; 2015 Aug; 27(8):1609-23. PubMed ID: 26079749
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An unsupervised learning algorithm for multiscale neural activity.
    Abbaspourazad H; Shanechi MM
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():201-204. PubMed ID: 29059845
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs.
    Gerhard F; Deger M; Truccolo W
    PLoS Comput Biol; 2017 Feb; 13(2):e1005390. PubMed ID: 28234899
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Copula-Based Granger Causality Measure for the Analysis of Neural Spike Train Data.
    Hu M; Li W; Liang H
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(2):562-569. PubMed ID: 29610104
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Information-Theoretic Framework to Measure the Dynamic Interaction Between Neural Spike Trains.
    Mijatovic G; Antonacci Y; Loncar-Turukalo T; Minati L; Faes L
    IEEE Trans Biomed Eng; 2021 Dec; 68(12):3471-3481. PubMed ID: 33872139
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Noisy Juxtacellular Stimulation In Vivo Leads to Reliable Spiking and Reveals High-Frequency Coding in Single Neurons.
    Doose J; Doron G; Brecht M; Lindner B
    J Neurosci; 2016 Oct; 36(43):11120-11132. PubMed ID: 27798191
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.