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 *

152 related articles for article (PubMed ID: 36725658)

  • 1. Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling.
    Gajamannage K; Jayathilake DI; Park Y; Bollt EM
    Chaos; 2023 Jan; 33(1):013109. PubMed ID: 36725658
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review.
    Chen Y; Cheng Q; Cheng Y; Yang H; Yu H
    Neural Comput; 2018 Nov; 30(11):2855-2881. PubMed ID: 30216144
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Considerations in using recurrent neural networks to probe neural dynamics.
    Kao JC
    J Neurophysiol; 2019 Dec; 122(6):2504-2521. PubMed ID: 31619125
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reconstructing computational system dynamics from neural data with recurrent neural networks.
    Durstewitz D; Koppe G; Thurm MI
    Nat Rev Neurosci; 2023 Nov; 24(11):693-710. PubMed ID: 37794121
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks.
    Goulas A; Damicelli F; Hilgetag CC
    Neural Netw; 2021 Oct; 142():608-618. PubMed ID: 34391175
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data.
    McDermott PL; Wikle CK
    Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266899
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.
    Vlachas PR; Pathak J; Hunt BR; Sapsis TP; Girvan M; Ott E; Koumoutsakos P
    Neural Netw; 2020 Jun; 126():191-217. PubMed ID: 32248008
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Kernel Adaptive Autoregressive-Moving-Average Algorithm.
    Li K; Príncipe JC
    IEEE Trans Neural Netw Learn Syst; 2016 Feb; 27(2):334-46. PubMed ID: 25935049
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning dynamical systems by recurrent neural networks from orbits.
    Kimura M; Nakano R
    Neural Netw; 1998 Dec; 11(9):1589-1599. PubMed ID: 12662730
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RNNCon: Contribution Coverage Testing for Stacked Recurrent Neural Networks.
    Du X; Zeng H; Chen S; Lei Z
    Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981408
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs.
    Khona M; Chandra S; Ma JJ; Fiete IR
    Neural Comput; 2023 Oct; 35(11):1850-1869. PubMed ID: 37725708
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data.
    Dasgupta A; Sharma R; Mishra C; Nagaraja VH
    Bioengineering (Basel); 2023 Apr; 10(5):. PubMed ID: 37237580
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neural Networks for Financial Time Series Forecasting.
    Sako K; Mpinda BN; Rodrigues PC
    Entropy (Basel); 2022 May; 24(5):. PubMed ID: 35626542
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using neural ordinary differential equations to predict complex ecological dynamics from population density data.
    Arroyo-Esquivel J; Klausmeier CA; Litchman E
    J R Soc Interface; 2024 May; 21(214):20230604. PubMed ID: 38745459
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
    He W; Wu Y; Deng L; Li G; Wang H; Tian Y; Ding W; Wang W; Xie Y
    Neural Netw; 2020 Dec; 132():108-120. PubMed ID: 32866745
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems.
    Saha P; Dash S; Mukhopadhyay S
    Neural Netw; 2021 Dec; 144():359-371. PubMed ID: 34547672
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models.
    Valente A; Ostojic S; Pillow JW
    Neural Comput; 2022 Aug; 34(9):1871-1892. PubMed ID: 35896161
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Structured flexibility in recurrent neural networks via neuromodulation.
    Costacurta JC; Bhandarkar S; Zoltowski DM; Linderman SW
    bioRxiv; 2024 Jul; ():. PubMed ID: 39091788
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks.
    Ehrlich DB; Stone JT; Brandfonbrener D; Atanasov A; Murray JD
    eNeuro; 2021; 8(1):. PubMed ID: 33328247
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Theory of Gating in Recurrent Neural Networks.
    Krishnamurthy K; Can T; Schwab DJ
    Phys Rev X; 2022; 12(1):. PubMed ID: 36545030
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.