| Year |
Citation |
Score |
| 2023 |
Nayebi A, Kong NCL, Zhuang C, Gardner JL, Norcia AM, Yamins DLK. Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation. Plos Computational Biology. 19: e1011506. PMID 37782673 DOI: 10.1371/journal.pcbi.1011506 |
0.374 |
|
| 2021 |
Bonnen T, Yamins DLK, Wagner AD. When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception. Neuron. PMID 34265252 DOI: 10.1016/j.neuron.2021.06.018 |
0.317 |
|
| 2021 |
Zhuang C, Yan S, Nayebi A, Schrimpf M, Frank MC, DiCarlo JJ, Yamins DLK. Unsupervised neural network models of the ventral visual stream. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 33431673 DOI: 10.1073/pnas.2014196118 |
0.339 |
|
| 2019 |
Fan JE, Wammes JD, Gunn JB, Yamins DLK, Norman KA, Turk-Browne NB. Relating visual production and recognition of objects in human visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 31871278 DOI: 10.1523/Jneurosci.1843-19.2019 |
0.353 |
|
| 2018 |
Fan JE, Yamins DLK, Turk-Browne NB. Common Object Representations for Visual Production and Recognition. Cognitive Science. PMID 30125986 DOI: 10.1111/Cogs.12676 |
0.382 |
|
| 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 |
0.331 |
|
| 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 |
0.363 |
|
| 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 |
0.403 |
|
| 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 |
0.394 |
|
| 2017 |
Fan J, Yamins D, Turk-Browne N. Visual production induces categorical perception Journal of Vision. 17: 992. DOI: 10.1167/17.10.992 |
0.338 |
|
| 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 |
0.321 |
|
| 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 |
0.311 |
|
| 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 |
0.312 |
|
| 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 |
0.344 |
|
| 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 |
0.325 |
|
| 2016 |
Yamins D, Kell AT. Using DNNs To Compare Visual and Auditory Cortex Journal of Vision. 16: 370. DOI: 10.1167/16.12.370 |
0.355 |
|
| 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 |
0.388 |
|
| 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 |
0.35 |
|
| 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 |
0.386 |
|
| 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 |
0.34 |
|
| 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 |
0.308 |
|
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