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Nathan Kong
Nathan Kong
Verified email at mit.edu
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Cited by
Cited by
Year
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation
A Nayebi*, NCL Kong*, C Zhuang, JL Gardner, AM Norcia, DLK Yamins
PLoS Computational Biology 19 (10), e1011506, 2023
35*2023
Increasing neural network robustness improves match to macaque V1 eigenspectrum, spatial frequency preference and predictivity
NCL Kong, E Margalit, JL Gardner, AM Norcia
PLoS Computational Biology 18 (1), e1009739, 2022
272022
Time-resolved correspondences between deep neural network layers and EEG measurements in object processing
NCL Kong, B Kaneshiro, DLK Yamins, AM Norcia
Vision Research 172, 27-45, 2020
122020
Are models trained on temporally-continuous data streams more adversarially robust?
NCL Kong, AM Norcia
SVRHM 2021 Workshop@ NeurIPS, 2021
42021
Building and Evaluating Computational Models of the Mammalian Visual System
NCL Kong
Stanford University, 2023
2023
Rapid Selectivity to Natural Images Across Layers of Primate V1
X Chen, S Zhu, K Bai, R Xia, NCL Kong, AM Norcia, T Moore
bioRxiv, 2022.01. 23.477422, 2022
2022
Information Compression in Simple Neural Networks
NCL Kong
https://theinformaticists.files.wordpress.com/2022/03/250cb …, 2019
2019
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