Daniel Yamins, Ph.D.
Affiliations: | 2008 | Harvard University, Cambridge, MA, United States |
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"Daniel Yamins"Parents
Sign in to add mentor| Radhika Nagpal | grad student | 2008 | Harvard | |
| (A theory of local -to -global algorithms for one-dimensional spatial multi-agent systems.) | ||||
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Publications
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| Bonnen T, Wagner AD, Yamins DLK. (2025) Medial temporal cortex supports object perception by integrating over visuospatial sequences. Cognition. 262: 106135 |
| Nayebi A, Kong NCL, Zhuang C, et al. (2023) Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation. Plos Computational Biology. 19: e1011506 |
| Bonnen T, Yamins DLK, Wagner AD. (2021) When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception. Neuron |
| Zhuang C, Yan S, Nayebi A, et al. (2021) Unsupervised neural network models of the ventral visual stream. Proceedings of the National Academy of Sciences of the United States of America. 118 |
| Fan JE, Wammes JD, Gunn JB, et al. (2019) Relating visual production and recognition of objects in human visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Fan JE, Yamins DLK, Turk-Browne NB. (2018) Common Object Representations for Visual Production and Recognition. Cognitive Science |
| Zhuang C, Yamins D. (2018) Using multiple optimization tasks to improve deep neural network models of higher ventral cortex Journal of Vision. 18: 905 |
| Wammes J, Fan J, Lee R, et al. (2018) Changing object representations during visual production training Journal of Vision. 18: 763 |
| Nayebi A, Kubilius J, Bear D, et al. (2018) Convolutional recurrent neural network models of dynamics in higher visual cortex Journal of Vision. 18: 717 |
| Zhuang C, Wang Y, Yamins D, et al. (2017) Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons. Frontiers in Computational Neuroscience. 11: 100 |