Research


Publications and preprints

  • Williams A. H., Poole B., Maheswaranathan, N., Dhawale A. K., Fisher, T., Wilson C. D., Brann, D. H., Trautmann, E., Ryu, S., Shusterman, R., Rinberg, D., Ölveczky, B. P., Shenoy K. V., Ganguli S. Discovering precise temporal patterns in large-scale neural recordings through robust and interpretable time warping. bioRxiv 661165
  • Metz, L., Maheswaranathan, N., Nixon, J., Freeman, D., Sohl-Dickstein, J. Understanding and correcting pathologies in the training of learned optimizers. ICML 2019. arxiv/1810.10180
  • Maheswaranathan, N., Metz, L., Tucker, G., Choi, D., Sohl-Dickstein, J. Guided evolutionary strategies: augmenting random search with surrogate gradients. ICML 2019. arxiv/1806.10230
  • Maheswaranathan, N.*, McIntosh, L. T.*, Kastner, D.B., Melander J., Brezovec L., Nayebi A., Wang, A., Ganguli, S., & Baccus S. A. Deep learning models reveal internal structure and diverse computations in the retina under natural scenes (2018). bioRxiv:340943
  • Metz, L., Maheswaranathan, N., Cheung, B., & Sohl-Dickstein, J. (2018). Learning Unsupervised Learning Rules. arXiv/1804.00222.
  • McIntosh, L., Maheswaranathan, N., Sussillo, D., & Shlens, J. (2017). Recurrent Segmentation for Variable Computational Budgets. CVPR 2018 ECV Workshop. arXiv/1711.10151.
  • T. Yang, C.F. Yang, M.D. Chizari, N. Maheswaranathan, K. Burke, Jr., M. Borius, S. Inoue, M.C. Chiang, K.J. Bender, S.Ganguli, and N. Shah. Social control of hypothalamus-mediated male aggression. Neuron. web
  • Hardcastle, K., Maheswaranathan, N., Ganguli, S., & Giocomo, L. A Multiplexed, Heterogeneous, and Adaptive Code for Navigation in Medial Entorhinal Cortex. Neuron. web
  • Maheswaranathan, N, Baccus, S & Ganguli, S. (2017) Inferring hidden structure in multilayered neural circuits (preprint). biorxiv.org/content/early/2017/03/27/120956
  • Wichrowska, O., Maheswaranathan, N, Hoffman, M. W., Gómez S., Denil M., de Fretias N., Sohl-Dickstein J. Learned Optimizers that Scale and Generalize (ICML 2017). arXiv/1703.04813
  • McIntosh, L.*, Maheswaranathan, N*, Nayebi, A, Ganguli, S & Baccus, S. (2016) Deep Learning Models of the Retinal Response to Natural Scenes. Neural Information Processing Systems (NIPS). web
  • Sohl-Dickstein J, Weiss E, Maheswaranathan N and Ganguli S. Deep Unsupervised Learning using Nonequilibrium Thermodynamics. International Conference on Machine Learning (ICML 2015). web
  • Maheswaranathan N, Ferrari S, VanDongen AMJ and Henriquez CS (2012) Emergent bursting and synchrony in computer simulations of neuronal cultures. Front. Comput. Neurosci. 6:15. doi: 10.3389/fncom.2012.00015

Conference abstracts and talks

  • Maheswaranathan, N.*, McIntosh, L.*, Kastner DB., Brezovec L., Nayebi, A., Ganguli, S. & Baccus, S. (2018, February). . Poster, Computational and Systems Neuroscience (COSYNE) 2016. Salt Lake City, Utah. Poster
  • Poole, B.*, Williams, A.*, Maheswaranathan, N.*, Yu, B., Santhanam, G., Ryu, S., Baccus, S., Shenoy, K. & Ganguli, S. (2017, February). Time-warped PCA: simultaneous alignment and dimensionality reduction of neural data. (COSYNE) 2017. Salt Lake City, Utah.
  • McIntosh, L.*, Maheswaranathan, N.*, Nayebi, A., Ganguli, S. & Baccus, S. (2017, February). Deep learning models of the retinal response to natural scenes. Poster, Computational and Systems Neuroscience (COSYNE) 2016. Salt Lake City, Utah.
  • Maheswaranathan, N.*, McIntosh, L.*, Nayebi, A., Ganguli, S. & Baccus, S. (2016, November). Deep learning models of the retinal response to natural scenes. Talk, Society for Neuroscience (SfN) 2016. San Diego, CA.
  • Maheswaranathan, N., Baccus, S., & Ganguli, S. (2016, February). Inferring hidden structure in multilayered circuits. Poster, Computational and Systems Neuroscience (COSYNE) 2016. Salt Lake City, Utah.
  • Hardcastle, K., Maheswaranathan, N., Ganguli, S., & Giocomo, L. (2016, February). Understanding principles of encoding navigationally-relevant variables in entorhinal cortex. Poster, Computational and Systems Neuroscience (COSYNE) 2016. Salt Lake City, Utah.
  • Sohl-Dickstein, J., Maheswaranathan, N., Baccus, S., & Ganguli, S. (2014, February). Efficient fitting of large scale neural models. Poster, Computational and Systems Neuroscience (COSYNE) 2014. Salt Lake City, Utah.
  • R. E. Lake, A. Dean, N. Maheswaranathan, A. P. Lange, M. P. Ray, and C. E. Sosolik. Vacancy island creation and coalescence using automated scanning tunneling microscopy. Review of Scientific Instruments (79) 2008.

*equal contribution