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Aran Nayebi
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Unsupervised neural network models of the ventral visual stream
C Zhuang, S Yan, A Nayebi, M Schrimpf, MC Frank, JJ DiCarlo, ...
Proceedings of the National Academy of Sciences 118 (3), e2014196118, 2021
3052021
Deep Learning Models of the Retinal Response to Natural Scenes
L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus
Advances in Neural Information Processing Systems (NIPS 2016) 29, 1369--1377, 2016
2722016
Brain-like object recognition with high-performing shallow recurrent ANNs
J Kubilius, M Schrimpf, K Kar, R Rajalingham, H Hong, N Majaj, E Issa, ...
Advances in neural information processing systems 32, 2019
2522019
Task-driven convolutional recurrent models of the visual system
A Nayebi, D Bear, J Kubilius, K Kar, S Ganguli, D Sussillo, JJ DiCarlo, ...
Advances in neural information processing systems 31, 2018
1662018
Cornet: Modeling the neural mechanisms of core object recognition
J Kubilius, M Schrimpf, A Nayebi, D Bear, DLK Yamins, JJ DiCarlo
BioRxiv, 408385, 2018
1422018
Biologically inspired protection of deep networks from adversarial attacks
A Nayebi, S Ganguli
arXiv preprint arXiv:1703.09202, 2017
1302017
Learning physical graph representations from visual scenes
D Bear, C Fan, D Mrowca, Y Li, S Alter, A Nayebi, J Schwartz, LF Fei-Fei, ...
Advances in Neural Information Processing Systems 33, 6027-6039, 2020
862020
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
H Tanaka, A Nayebi, N Maheswaranathan, L McIntosh, S Baccus, ...
Advances in neural information processing systems 32, 2019
682019
Interpreting the retinal neural code for natural scenes: From computations to neurons
N Maheswaranathan, LT McIntosh, H Tanaka, S Grant, DB Kastner, ...
Neuron 111 (17), 2742-2755. e4, 2023
65*2023
Gruv: Algorithmic music generation using recurrent neural networks
A Nayebi, M Vitelli
Course CS224D: Deep Learning for Natural Language Processing (Stanford) 52, 2015
632015
Recurrent connections in the primate ventral visual stream mediate a trade-off between task performance and network size during core object recognition
A Nayebi, J Sagastuy-Brena, DM Bear, K Kar, J Kubilius, S Ganguli, ...
Neural Computation 34 (8), 1652-1675, 2022
46*2022
Carma: A deep reinforcement learning approach to autonomous driving
M Vitelli, A Nayebi
Tech. rep. Stanford University, Tech. Rep., 2016
382016
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
Two routes to scalable credit assignment without weight symmetry
D Kunin, A Nayebi, J Sagastuy-Brena, S Ganguli, J Bloom, D Yamins
International Conference on Machine Learning, 5511-5521, 2020
342020
Quantum lower bound for inverting a permutation with advice
A Nayebi, S Aaronson, A Belovs, L Trevisan
arXiv preprint arXiv:1408.3193, 2014
292014
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
A Nayebi, A Attinger, M Campbell, K Hardcastle, I Low, CS Mallory, G Mel, ...
Advances in Neural Information Processing Systems 34, 12167-12179, 2021
262021
Identifying learning rules from neural network observables
A Nayebi, S Srivastava, S Ganguli, DL Yamins
Advances in Neural Information Processing Systems 33, 2639-2650, 2020
242020
CORnet: Modeling the neural mechanisms of core object recognition. BioRxiv, 408385
J Kubilius, M Schrimpf, A Nayebi, D Bear, DLK Yamins, JJ DiCarlo
arXiv preprint arXiv:1702.02181, 2018
202018
Distinct in vivo dynamics of excitatory synapses onto cortical pyramidal neurons and parvalbumin-positive interneurons
JB Melander, A Nayebi, BC Jongbloets, DA Fortin, M Qin, S Ganguli, ...
Cell reports 37 (6), 2021
15*2021
Fast matrix multiplication techniques based on the Adleman-Lipton model
A Nayebi
arXiv preprint arXiv:0912.0750, 2009
122009
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Articles 1–20