Aran Nayebi, Ph.D.
Affiliations: | 2011-2015 | Bachelor of Science, Mathematics | Stanford University, Palo Alto, CA |
| 2015-2017 | Master of Science, Computer Science | Stanford University, Palo Alto, CA | |
| 2016-2022 | Neurosciences PhD Program | Stanford University, Palo Alto, CA | |
| 2022- | ICoN Postdoctoral Fellow, McGovern Institute | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
NeuroAIWebsite:
https://anayebi.github.io/Google:
"Aran Nayebi"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Stephen Baccus | research assistant | 2015-2016 | Stanford |
| Surya Ganguli | grad student | 2016-2022 | Stanford (Physics Tree) |
| Daniel L K Yamins | grad student | 2016-2022 | Stanford |
| Mehrdad Jazayeri | post-doc | 2022- | MIT |
| Guangyu Robert Yang | post-doc | 2022- | MIT |
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Publications
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| Nayebi A, Sagastuy-Brena J, Bear DM, et al. (2022) Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off between Task Performance and Network Size during Core Object Recognition. Neural Computation. 1-25 |
| Tanaka H, Nayebi A, Maheswaranathan N, et al. (2022) From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. Advances in Neural Information Processing Systems. 32: 8537-8547 |
| Melander JB, Nayebi A, Jongbloets BC, et al. (2021) Distinct in vivo dynamics of excitatory synapses onto cortical pyramidal neurons and parvalbumin-positive interneurons. Cell Reports. 37: 109972 |
| 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 |
| McIntosh LT, Maheswaranathan N, Nayebi A, et al. (2016) Deep Learning Models of the Retinal Response to Natural Scenes. Advances in Neural Information Processing Systems. 29: 1369-1377 |