BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 28197089)

  • 1. Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features.
    Horikawa T; Kamitani Y
    Front Comput Neurosci; 2017; 11():4. PubMed ID: 28197089
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Inter-individual deep image reconstruction via hierarchical neural code conversion.
    Ho JK; Horikawa T; Majima K; Cheng F; Kamitani Y
    Neuroimage; 2023 May; 271():120007. PubMed ID: 36914105
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Characterization of deep neural network features by decodability from human brain activity.
    Horikawa T; Aoki SC; Tsukamoto M; Kamitani Y
    Sci Data; 2019 Feb; 6():190012. PubMed ID: 30747910
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multimodal deep neural decoding reveals highly resolved spatiotemporal profile of visual object representation in humans.
    Watanabe N; Miyoshi K; Jimura K; Shimane D; Keerativittayayut R; Nakahara K; Takeda M
    Neuroimage; 2023 Jul; 275():120164. PubMed ID: 37169115
    [TBL] [Abstract][Full Text] [Related]  

  • 5. End-to-End Deep Image Reconstruction From Human Brain Activity.
    Shen G; Dwivedi K; Majima K; Horikawa T; Kamitani Y
    Front Comput Neurosci; 2019; 13():21. PubMed ID: 31031613
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Generic decoding of seen and imagined objects using hierarchical visual features.
    Horikawa T; Kamitani Y
    Nat Commun; 2017 May; 8():15037. PubMed ID: 28530228
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Untangling featural and conceptual object representations.
    Grootswagers T; Robinson AK; Shatek SM; Carlson TA
    Neuroimage; 2019 Nov; 202():116083. PubMed ID: 31400529
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Which deep learning model can best explain object representations of within-category exemplars?
    Lee D
    J Vis; 2021 Sep; 21(10):12. PubMed ID: 34520508
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Accurate Reconstruction of Image Stimuli From Human Functional Magnetic Resonance Imaging Based on the Decoding Model With Capsule Network Architecture.
    Qiao K; Zhang C; Wang L; Chen J; Zeng L; Tong L; Yan B
    Front Neuroinform; 2018; 12():62. PubMed ID: 30294269
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks.
    Jang H; Plis SM; Calhoun VD; Lee JH
    Neuroimage; 2017 Jan; 145(Pt B):314-328. PubMed ID: 27079534
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Ventral Visual Pathway Represents Animal Appearance over Animacy, Unlike Human Behavior and Deep Neural Networks.
    Bracci S; Ritchie JB; Kalfas I; Op de Beeck HP
    J Neurosci; 2019 Aug; 39(33):6513-6525. PubMed ID: 31196934
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.
    Jozwik KM; Kriegeskorte N; Storrs KR; Mur M
    Front Psychol; 2017; 8():1726. PubMed ID: 29062291
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep image reconstruction from human brain activity.
    Shen G; Horikawa T; Majima K; Kamitani Y
    PLoS Comput Biol; 2019 Jan; 15(1):e1006633. PubMed ID: 30640910
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization.
    Wen H; Shi J; Chen W; Liu Z
    Sci Rep; 2018 Feb; 8(1):3752. PubMed ID: 29491405
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bottom-Up and Top-Down Factors Differentially Influence Stimulus Representations Across Large-Scale Attentional Networks.
    Long NM; Kuhl BA
    J Neurosci; 2018 Mar; 38(10):2495-2504. PubMed ID: 29437930
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interaction between Scene and Object Processing Revealed by Human fMRI and MEG Decoding.
    Brandman T; Peelen MV
    J Neurosci; 2017 Aug; 37(32):7700-7710. PubMed ID: 28687603
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Representational Content of Oscillatory Brain Activity during Object Recognition: Contrasting Cortical and Deep Neural Network Hierarchies.
    Reddy L; Cichy RM; VanRullen R
    eNeuro; 2021; 8(3):. PubMed ID: 33903182
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model.
    Wagatsuma N; Hidaka A; Tamura H
    Front Comput Neurosci; 2022; 16():979258. PubMed ID: 36249483
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sharpening of Hierarchical Visual Feature Representations of Blurred Images.
    Abdelhack M; Kamitani Y
    eNeuro; 2018; 5(3):. PubMed ID: 29756028
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text.
    Anderson AJ; Bruni E; Lopopolo A; Poesio M; Baroni M
    Neuroimage; 2015 Oct; 120():309-22. PubMed ID: 26188260
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.