Research


I study the computational mechanisms that neurons use to encode sensory information, focusing mostly on how ganglion cells in the retina encode visual information. More generally, I am interested in bringing together tools from statistics, machine learning, and high-dimensional data analysis to bear on problems in systems neuroscience. I am co-advised by Surya Ganguli and Steve Baccus.


Publications and preprints

  • 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.org/abs/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

  • 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.
  • Maheswaranathan, N.*, McIntosh, L.*, Nayebi, A., Ganguli, S. & Baccus, S. (2016, February). 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.
  • McIntosh, L.*, Maheswaranathan, N.*, Nayebi, A., Ganguli, S. & Baccus, S. (2016, February). Deep learning models of the retinal response to natural scenes. 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