Year |
Citation |
Score |
2019 |
Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, Clopath C, Costa RP, de Berker A, Ganguli S, Gillon CJ, Hafner D, Kepecs A, Kriegeskorte N, Latham P, ... ... Yamins D, et al. A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770. PMID 31659335 DOI: 10.1038/S41593-019-0520-2 |
0.554 |
|
2018 |
Zhuang C, Yamins D. Using multiple optimization tasks to improve deep neural network models of higher ventral cortex Journal of Vision. 18: 905. DOI: 10.1167/18.10.905 |
0.506 |
|
2018 |
Margalit E, Lee H, DiCarlo J, Yamins D. Pinwheel-like Iso-Orientation Domains in a Convolutional Neural Network Model Journal of Vision. 18: 771. DOI: 10.1167/18.10.771 |
0.711 |
|
2018 |
Wammes J, Fan J, Lee R, Gunn J, Yamins D, Norman K, Turk-Browne N. Changing object representations during visual production training Journal of Vision. 18: 763. DOI: 10.1167/18.10.763 |
0.418 |
|
2018 |
Nayebi A, Kubilius J, Bear D, Ganguli S, DiCarlo J, Yamins D. Convolutional recurrent neural network models of dynamics in higher visual cortex Journal of Vision. 18: 717. DOI: 10.1167/18.10.717 |
0.775 |
|
2018 |
Haber N, Mrowca D, Fei-Fei L, Yamins D. Modeling the scientist in the crib Journal of Vision. 18: 10. DOI: 10.1167/18.10.10 |
0.348 |
|
2017 |
Zhuang C, Wang Y, Yamins D, Hu X. Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons. Frontiers in Computational Neuroscience. 11: 100. PMID 29163117 DOI: 10.3389/Fncom.2017.00100 |
0.503 |
|
2017 |
Fan J, Yamins D, Turk-Browne N. Visual production induces categorical perception Journal of Vision. 17: 992. DOI: 10.1167/17.10.992 |
0.393 |
|
2016 |
Tian M, Yamins D, Grill-Spector K. Learning the 3-D structure of objects from 2-D views depends on shape, not format. Journal of Vision. 16: 7. PMID 27153196 DOI: 10.1167/16.7.7 |
0.33 |
|
2016 |
Yamins DL, DiCarlo JJ. Eight open questions in the computational modeling of higher sensory cortex. Current Opinion in Neurobiology. 37: 114-120. PMID 26921828 DOI: 10.1016/j.conb.2016.02.001 |
0.675 |
|
2016 |
Yamins DL, DiCarlo JJ. Using goal-driven deep learning models to understand sensory cortex. Nature Neuroscience. 19: 356-65. PMID 26906502 DOI: 10.1038/Nn.4244 |
0.701 |
|
2016 |
Hong H, Yamins DL, Majaj NJ, DiCarlo JJ. Explicit information for category-orthogonal object properties increases along the ventral stream. Nature Neuroscience. PMID 26900926 DOI: 10.1038/Nn.4247 |
0.773 |
|
2016 |
Fan J, Yamins D, Turk-Browne N. Dynamic visual feedback is sufficient to improve drawing Journal of Vision. 16: 673. DOI: 10.1167/16.12.673 |
0.383 |
|
2016 |
Yamins D, Kell AT. Using DNNs To Compare Visual and Auditory Cortex Journal of Vision. 16: 370. DOI: 10.1167/16.12.370 |
0.445 |
|
2015 |
Kell A, Yamins D, Norman-Haignere S, Seibert D, Hong H, DiCarlo J, McDermott J. Computational similarities between visual and auditory cortex studied with convolutional neural networks, fMRI, and electrophysiology. Journal of Vision. 15: 1093. PMID 26326781 DOI: 10.1167/15.12.1093 |
0.567 |
|
2015 |
Tian M, Yamins D, Grill-Spector K. Learning invariant object representations: asymmetric transfer of learning across line drawings and 3D cues. Journal of Vision. 15: 1088. PMID 26326776 DOI: 10.1167/15.12.1088 |
0.379 |
|
2015 |
Yamins D, Cohen M, Hong H, Kanwisher N, DiCarlo J. The Emergence of Face-Selective Units in a Model that Has Never Seen a Face. Journal of Vision. 15: 754. PMID 26326442 DOI: 10.1167/15.12.754 |
0.553 |
|
2015 |
Fan J, Yamins D, Turk-Browne N. How drawing shapes object representations. Journal of Vision. 15: 44. PMID 26325732 DOI: 10.1167/15.12.44 |
0.373 |
|
2015 |
Bergstra J, Komer B, Eliasmith C, Yamins D, Cox DD. Hyperopt: A Python library for model selection and hyperparameter optimization Computational Science and Discovery. 8. DOI: 10.1088/1749-4699/8/1/014008 |
0.451 |
|
2014 |
Afraz A, Yamins DL, DiCarlo JJ. Neural Mechanisms Underlying Visual Object Recognition. Cold Spring Harbor Symposia On Quantitative Biology. 79: 99-107. PMID 26092883 DOI: 10.1101/Sqb.2014.79.024729 |
0.78 |
|
2014 |
Cadieu CF, Hong H, Yamins DL, Pinto N, Ardila D, Solomon EA, Majaj NJ, DiCarlo JJ. Deep neural networks rival the representation of primate IT cortex for core visual object recognition. Plos Computational Biology. 10: e1003963. PMID 25521294 DOI: 10.1371/Journal.Pcbi.1003963 |
0.722 |
|
2014 |
Yamins DL, Hong H, Cadieu CF, Solomon EA, Seibert D, DiCarlo JJ. Performance-optimized hierarchical models predict neural responses in higher visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 111: 8619-24. PMID 24812127 DOI: 10.1073/Pnas.1403112111 |
0.788 |
|
2014 |
Hong H, Solomon E, Yamins D, DiCarlo J. Large-scale Characterization of a Universal and Compact Visual Perceptual Space Journal of Vision. 14: 912-912. DOI: 10.1167/14.10.912 |
0.592 |
|
2014 |
DiCarlo JJ, Hong H, Yamins D. Modern population approaches for discovering neural representations and for discriminating among algorithms that might produce those representations. Journal of Vision. 14: 1477-1477. DOI: 10.1167/14.10.1477 |
0.609 |
|
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