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Niru Maheswaranathan

Showing results (1-10 of 13) with videos related to

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Neuron|April 11, 2017
A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal CortexKiah Hardcastle, Niru Maheswaranathan, Surya Ganguli, et al.
Plos Computational Biology|August 24, 2018
Inferring hidden structure in multilayered neural circuitsNiru Maheswaranathan, David B Kastner, Stephen A Baccus, et al.
Frontiers in Computational Neuroscience|April 20, 2012
Emergent bursting and synchrony in computer simulations of neuronal culturesNiru Maheswaranathan, Silvia Ferrari, Antonius M J Vandongen, et al.
Advances in Neural Information Processing Systems|August 13, 2020
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamicsNiru Maheswaranathan, Alex H Williams, Matthew D Golub, 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|August 13, 2020
Universality and individuality in neural dynamics across large populations of recurrent networksNiru Maheswaranathan, Alex H Williams, Matthew D Golub, 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.
Conference Record. Asilomar Conference on Signals, Systems & Computers|November 28, 2023
A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamicsXuehao Ding, Dongsoo Lee, Satchel Grant, et al.
Neuron|May 17, 2024
Social Control of Hypothalamus-Mediated Male AggressionTaehong Yang, Cindy F Yang, M Delara Chizari, 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 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Neuron|April 11, 2017
A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal CortexKiah Hardcastle, Niru Maheswaranathan, Surya Ganguli, et al.
Plos Computational Biology|August 24, 2018
Inferring hidden structure in multilayered neural circuitsNiru Maheswaranathan, David B Kastner, Stephen A Baccus, et al.
Frontiers in Computational Neuroscience|April 20, 2012
Emergent bursting and synchrony in computer simulations of neuronal culturesNiru Maheswaranathan, Silvia Ferrari, Antonius M J Vandongen, et al.
Advances in Neural Information Processing Systems|August 13, 2020
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamicsNiru Maheswaranathan, Alex H Williams, Matthew D Golub, 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|August 13, 2020
Universality and individuality in neural dynamics across large populations of recurrent networksNiru Maheswaranathan, Alex H Williams, Matthew D Golub, 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.
Conference Record. Asilomar Conference on Signals, Systems & Computers|November 28, 2023
A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamicsXuehao Ding, Dongsoo Lee, Satchel Grant, et al.
Neuron|May 17, 2024
Social Control of Hypothalamus-Mediated Male AggressionTaehong Yang, Cindy F Yang, M Delara Chizari, 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 2