Aran Nayebi, Ph.D. - Publications
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/Year | Citation | Score | |||
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2022 | Nayebi A, Sagastuy-Brena J, Bear DM, Kar K, Kubilius J, Ganguli S, Sussillo D, DiCarlo JJ, Yamins DLK. 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. PMID 35798321 DOI: 10.1162/neco_a_01506 | 0.71 | |||
2022 | Tanaka H, Nayebi A, Maheswaranathan N, McIntosh L, Baccus SA, Ganguli S. From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. Advances in Neural Information Processing Systems. 32: 8537-8547. PMID 35283616 | 0.567 | |||
2021 | Melander JB, Nayebi A, Jongbloets BC, Fortin DA, Qin M, Ganguli S, Mao T, Zhong H. Distinct in vivo dynamics of excitatory synapses onto cortical pyramidal neurons and parvalbumin-positive interneurons. Cell Reports. 37: 109972. PMID 34758304 DOI: 10.1016/j.celrep.2021.109972 | 0.505 | |||
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 | 0.745 | |||
2016 | McIntosh LT, Maheswaranathan N, Nayebi A, Ganguli S, Baccus SA. Deep Learning Models of the Retinal Response to Natural Scenes. Advances in Neural Information Processing Systems. 29: 1369-1377. PMID 28729779 | 0.586 | |||
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