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Daniel L K Yamins, PhD - Publications

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
computational neuroscience, artificial intelligence, psychology, vision, audition
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24/31 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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  0.553
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  0.502
2017 Fan J, Yamins D, Turk-Browne N. Visual production induces categorical perception Journal of Vision. 17: 992. DOI: 10.1167/17.10.992  0.392
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  0.673
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  0.7
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  0.771
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  0.382
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  0.551
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  0.45
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  0.779
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  0.59
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  0.607
Low-probability matches (unlikely to be authored by this person)
2019 De Freitas J, Kim KH, Haber N, Conwell C, Alvarez GA, Yamins DL. Intrinsic curiosity may give rise to animate attention Journal of Vision. 19: 17d. DOI: 10.1167/19.10.17D  0.266
2018 De Freitas J, Hafri A, Yamins D, Alvarez G. From pixels to moral judgment: Extracting morally relevant information in minds and machines Journal of Vision. 18: 152. DOI: 10.1167/18.10.152  0.215
2011 Van Tyne D, Park DJ, Schaffner SF, Neafsey DE, Angelino E, Cortese JF, Barnes KG, Rosen DM, Lukens AK, Daniels RF, Milner DA, Johnson CA, Shlyakhter I, Grossman SR, Becker JS, ... Yamins D, et al. Identification and functional validation of the novel antimalarial resistance locus PF10_0355 in Plasmodium falciparum. Plos Genetics. 7: e1001383. PMID 21533027 DOI: 10.1371/Journal.Pgen.1001383  0.211
2017 Norcia A, Meredith W, Reisen G, Yamins D. Carving up the ventral stream with Deep Synthesis Journal of Vision. 17: 1348. DOI: 10.1167/17.10.1348  0.208
2003 Yamins D, Rasmussen S, Fogel D. Networks and Spatial Economics. 3: 69-85. DOI: 10.1023/A:1022001117715  0.12
2002 Daley AJ, Girvin A, Kauffman SA, Wills PR, Yamins D. Simulation of a Chemical Autonomous Agent Zeitschrift FüR Physikalische Chemie. 216. DOI: 10.1524/zpch.2002.216.1.041  0.072
2004 Yamins D, Waydo S, Khaneja N. Group control and kernels: The 1-D equigrouping problem Proceedings of the Ieee Conference On Decision and Control. 3: 2460-2466.  0.01
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