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Aran Nayebi

Showing results (1-10 of 9) with videos related to

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The Behavioral and Brain Sciences|December 6, 2023
For human-like models, train on human-like tasksKatherine Hermann, Aran Nayebi, Sjoerd van Steenkiste, et al.
Arxiv|June 9, 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic ScenesAran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, et al.
Advances in Neural Information Processing Systems|July 22, 2017
Deep Learning Models of the Retinal Response to Natural ScenesLane T McIntosh, Niru Maheswaranathan, Aran Nayebi, et al.
Advances in Neural Information Processing Systems|March 14, 2022
From deep learning to mechanistic understanding in neuroscience: the structure of retinal predictionHidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, et al.
Plos Computational Biology|October 2, 2023
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representationAran Nayebi, Nathan C L Kong, Chengxu Zhuang, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 12, 2021
Unsupervised neural network models of the ventral visual streamChengxu Zhuang, Siming Yan, Aran Nayebi, et al.
Cell Reports|November 10, 2021
Distinct in vivo dynamics of excitatory synapses onto cortical pyramidal neurons and parvalbumin-positive interneuronsJoshua B Melander, Aran Nayebi, Bart C Jongbloets, et al.
Neural Computation|July 7, 2022
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object RecognitionAran Nayebi, Javier Sagastuy-Brena, Daniel M Bear, et al.
Neuron|July 14, 2023
Interpreting the retinal neural code for natural scenes: From computations to neuronsNiru Maheswaranathan, Lane T McIntosh, Hidenori Tanaka, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
The Behavioral and Brain Sciences|December 6, 2023
For human-like models, train on human-like tasksKatherine Hermann, Aran Nayebi, Sjoerd van Steenkiste, et al.
Arxiv|June 9, 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic ScenesAran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, et al.
Advances in Neural Information Processing Systems|July 22, 2017
Deep Learning Models of the Retinal Response to Natural ScenesLane T McIntosh, Niru Maheswaranathan, Aran Nayebi, et al.
Advances in Neural Information Processing Systems|March 14, 2022
From deep learning to mechanistic understanding in neuroscience: the structure of retinal predictionHidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, et al.
Plos Computational Biology|October 2, 2023
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representationAran Nayebi, Nathan C L Kong, Chengxu Zhuang, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 12, 2021
Unsupervised neural network models of the ventral visual streamChengxu Zhuang, Siming Yan, Aran Nayebi, et al.
Cell Reports|November 10, 2021
Distinct in vivo dynamics of excitatory synapses onto cortical pyramidal neurons and parvalbumin-positive interneuronsJoshua B Melander, Aran Nayebi, Bart C Jongbloets, et al.
Neural Computation|July 7, 2022
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object RecognitionAran Nayebi, Javier Sagastuy-Brena, Daniel M Bear, et al.
Neuron|July 14, 2023
Interpreting the retinal neural code for natural scenes: From computations to neuronsNiru Maheswaranathan, Lane T McIntosh, Hidenori Tanaka, et al.
Pageof 1