Niru Maheswaranathan - Publications

Affiliations: 
Google Brain 
Area:
Computational Neuroscience & Machine Learning

13 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Maheswaranathan N, McIntosh LT, Tanaka H, Grant S, Kastner DB, Melander JB, Nayebi A, Brezovec LE, Wang JH, Ganguli S, Baccus SA. Interpreting the retinal neural code for natural scenes: From computations to neurons. Neuron. PMID 37451264 DOI: 10.1016/j.neuron.2023.06.007  0.764
2023 Williams AH, Poole B, Maheswaranathan N, Dhawale AK, Fisher T, Wilson CD, Brann DH, Trautmann EM, Ryu S, Shusterman R, Rinberg D, Ölveczky BP, Shenoy KV, Gangul S. Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. Neuron. 111: 1685. PMID 37201504 DOI: 10.1016/j.neuron.2023.04.030  0.528
2022 Ding X, Lee D, Grant S, Stein H, McIntosh L, Maheswaranathan N, Baccus S. A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics. Conference Record. Asilomar Conference On Signals, Systems & Computers. 2021: 287-291. PMID 38013729 DOI: 10.1109/ieeeconf53345.2021.9723187  0.794
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  0.689
2019 Maheswaranathan N, Williams AH, Golub MD, Ganguli S, Sussillo D. Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. Advances in Neural Information Processing Systems. 32: 15696-15705. PMID 32782423  0.677
2019 Maheswaranathan N, Williams AH, Golub MD, Ganguli S, Sussillo D. Universality and individuality in neural dynamics across large populations of recurrent networks. Advances in Neural Information Processing Systems. 2019: 15629-15641. PMID 32782422  0.719
2019 Williams AH, Poole B, Maheswaranathan N, Dhawale AK, Fisher T, Wilson CD, Brann DH, Trautmann EM, Ryu S, Shusterman R, Rinberg D, Ölveczky BP, Shenoy KV, Ganguli S. Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. Neuron. PMID 31786013 DOI: 10.1016/J.Neuron.2019.10.020  0.66
2018 Maheswaranathan N, Kastner DB, Baccus SA, Ganguli S. Inferring hidden structure in multilayered neural circuits. Plos Computational Biology. 14: e1006291. PMID 30138312 DOI: 10.1371/Journal.Pcbi.1006291  0.774
2017 Yang T, Yang CF, Chizari MD, Maheswaranathan N, Burke KJ, Borius M, Inoue S, Chiang MC, Bender KJ, Ganguli S, Shah NM. Social Control of Hypothalamus-Mediated Male Aggression. Neuron. PMID 28757304 DOI: 10.1016/J.Neuron.2017.06.046  0.503
2017 Hardcastle K, Maheswaranathan N, Ganguli S, Giocomo LM. A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex. Neuron. PMID 28392071 DOI: 10.1016/J.Neuron.2017.03.025  0.572
2017 Naecker B, Maheswaranathan N, Ganguli S, Baccus S. Pyret: A Python package for analysis of neurophysiology data The Journal of Open Source Software. 2: 137. DOI: 10.21105/Joss.00137  0.661
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  0.712
2012 Maheswaranathan N, Ferrari S, Vandongen AM, Henriquez CS. Emergent bursting and synchrony in computer simulations of neuronal cultures. Frontiers in Computational Neuroscience. 6: 15. PMID 22514531 DOI: 10.3389/Fncom.2012.00015  0.417
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