BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

227 related articles for article (PubMed ID: 35344988)

  • 1. Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data.
    Rezaei MR; Hadjinicolaou AE; Cash SS; Eden UT; Yousefi A
    Neural Comput; 2022 Apr; 34(5):1100-1135. PubMed ID: 35344988
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience.
    Fengler A; Govindarajan LN; Chen T; Frank MJ
    Elife; 2021 Apr; 10():. PubMed ID: 33821788
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach.
    Yousefi A; Basu I; Paulk AC; Peled N; Eskandar EN; Dougherty DD; Cash SS; Widge AS; Eden UT
    Neural Comput; 2019 Sep; 31(9):1751-1788. PubMed ID: 31335292
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data.
    Schuster V; Krogh A
    Bioinformatics; 2023 Sep; 39(9):. PubMed ID: 37572301
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].
    Pezard L; Nandrino JL
    Encephale; 2001; 27(3):260-8. PubMed ID: 11488256
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Training deep neural density estimators to identify mechanistic models of neural dynamics.
    Gonçalves PJ; Lueckmann JM; Deistler M; Nonnenmacher M; Öcal K; Bassetto G; Chintaluri C; Podlaski WF; Haddad SA; Vogels TP; Greenberg DS; Macke JH
    Elife; 2020 Sep; 9():. PubMed ID: 32940606
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks.
    Gutiérrez-Becker B; Sarasua I; Wachinger C
    Med Image Anal; 2021 Jan; 67():101852. PubMed ID: 33129154
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity.
    Ahmadipour P; Sani OG; Pesaran B; Shanechi MM
    J Neural Eng; 2024 Mar; 21(2):. PubMed ID: 38016450
    [No Abstract]   [Full Text] [Related]  

  • 9. Discriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.
    Meyer AF; Diepenbrock JP; Happel MF; Ohl FW; Anemüller J
    PLoS One; 2014; 9(4):e93062. PubMed ID: 24699631
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observations.
    Song CY; Hsieh HL; Pesaran B; Shanechi MM
    J Neural Eng; 2022 Nov; 19(6):. PubMed ID: 36261030
    [No Abstract]   [Full Text] [Related]  

  • 11. Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression.
    Greenidge CD; Scholl B; Yates JL; Pillow JW
    Neural Comput; 2024 Jan; 36(2):175-226. PubMed ID: 38101329
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements.
    Durstewitz D
    PLoS Comput Biol; 2017 Jun; 13(6):e1005542. PubMed ID: 28574992
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Smartphone Sensor-Based Human Motion Characterization with Neural Stochastic Differential Equations and Transformer Model.
    Lee J; Kim T; Park J; Park J
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236580
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI.
    Koppe G; Toutounji H; Kirsch P; Lis S; Durstewitz D
    PLoS Comput Biol; 2019 Aug; 15(8):e1007263. PubMed ID: 31433810
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators.
    Hashemi M; Vattikonda AN; Jha J; Sip V; Woodman MM; Bartolomei F; Jirsa VK
    Neural Netw; 2023 Jun; 163():178-194. PubMed ID: 37060871
    [TBL] [Abstract][Full Text] [Related]  

  • 16. BRAND: a platform for closed-loop experiments with deep network models.
    Ali YH; Bodkin K; Rigotti-Thompson M; Patel K; Card NS; Bhaduri B; Nason-Tomaszewski SR; Mifsud DM; Hou X; Nicolas C; Allcroft S; Hochberg LR; Au Yong N; Stavisky SD; Miller LE; Brandman DM; Pandarinath C
    J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38579696
    [No Abstract]   [Full Text] [Related]  

  • 17. Inferring population dynamics in macaque cortex.
    Meghanath G; Jimenez B; Makin JG
    J Neural Eng; 2023 Nov; 20(5):. PubMed ID: 37875104
    [No Abstract]   [Full Text] [Related]  

  • 18. Probabilistic Encoding Models for Multivariate Neural Data.
    Triplett MA; Goodhill GJ
    Front Neural Circuits; 2019; 13():1. PubMed ID: 30745864
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A switching multi-scale dynamical network model of EEG/MEG.
    Olier I; Trujillo-Barreto NJ; El-Deredy W
    Neuroimage; 2013 Dec; 83():262-87. PubMed ID: 23611860
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 12.