Neeli Mishra
I am a postdoctoral research scientist working with Larry Abbott in the Center for Theoretical Neuroscience at Columbia University in NYC. My research focuses on understanding computation in the brain and in ANNs by analyzing the geometries of neural and feature representations in neural networks.
Previously, I completed my Ph.D. in Neurobiology and Behavior at Columbia University, where I was supervised by Richard Axel. My research focused on using techniques from computer vision, machine learning and statistics to analyze large neural and behavioral datasets. Before this, I studied bioengineering at Caltech in Pasadena, California.
You can contact me at nm2786 [at] columbia [dot] edu.
GitHub — LinkedIn
Publications and Preprints
Evan S. Schaffer*, Neeli Mishra*, Matthew R. Whiteway, Wenze Li, Michelle B. Vancura, Jason Freedman, Kripa B. Patel, Venkatakaushik Voleti, Liam Paninski, Elizabeth M. C. Hillman, L.F. Abbott, Richard Axel. (2021)
Flygenvectors: the spatial and temporal structure of neural activity across the fly brain, bioRxiv [pdf]
Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee. (2021)
Understanding the logit distributions of adversarially-trained deep neural networks, arXiv [pdf]
Matthew R. Whiteway, Evan S. Schaffer, Anqi Wu, E. Kelly Buchanan, Omer F. Onder, Neeli Mishra, Liam Paninski. (2021)
Semi-supervised sequence modeling for improved behavioral segmentation, bioRxiv [pdf]
Anqi Wu, E. Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan S. Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, John P. Cunningham, Liam Paninski. (2020)
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking, bioRxiv [pdf]
Hidehiko K. Inagaki, Yonil Jung, Eric D. Hoopfer, Allan M. Wong, Neeli Mishra, John Y. Lin, Roger Y. Tsien, David J. Anderson. (2014)
Optogenetic control of Drosophila using a red-shifted channelrhodopsin reveals experience-dependent influences on courtship, Nature Methods [pdf]
Nicolas L. Young, Mariana D. Plazas-Mayorca, Peter A. DiMaggio, Ian Z. Flaniken, Andrea J. Beltran, Neeli Mishra, Gary LeRoy, Christodoulos A. Floudas, Benjamin A. Garcia. (2011)
Collective mass spectrometry approaches reveal broad and combinatorial modification of high mobility group protein A1a, Journal of the American Society for Mass Spectrometry [pdf]
(* indicates equal contribution)
Additional Manuscripts
Neeli Mishra (2020)
Characterization of global brain state dynamics in Drosophila melanogaster, Doctoral Thesis, available upon request
Conference Posters
Matthew R. Whiteway, Evan S. Schaffer, Anqi Wu, E. Kelly Buchanan, Omer F. Onder, Neeli Mishra, Liam Paninski. (2021)
Semi-supervised sequence modeling for improved behavioral segmentation, CV4Animals Workshop (CVPR 2021), Virtual
Anqi Wu, E. Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, The International Brain Laboratory, John Cunningham, Liam Paninski (2021)
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking, Computational and Systems Neuroscience (COSYNE), Virtual
Anqi Wu, E. Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan S. Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, John P. Cunningham, Liam Paninski. (2020)
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking, Advances in Neural Information Processing Systems (NeurIPS 2020), Virtual
Evan S. Schaffer, Neeli Mishra, Wenze Li, Matthew Whiteway, Jason Freedman, Kripa Patel, Venkatakaushik Voleti, Liam Paninski, Larry F. Abbott, Elizabeth M. C. Hillman, Richard Axel (2020)
Flygenvectors: global and local representations of behavior and internal state, Computational and Systems Neuroscience (COSYNE), Denver, CO
Neeli Mishra, Wenze Li, Evan S. Schaffer, Venkatakaushik Voleti, Elizabeth M. C. Hillman, Richard Axel (2017)
Identifying olfactory neural circuits in adult Drosophila using high-speed whole brain functional imaging, Society for Neuroscience Annual Meeting, Washington, DC
Wenze Li, Neeli Mishra, Evan S. Schaffer, Venkatakaushik Voleti, Elizabeth M. C. Hillman (2017)
Swept confocally aligned planar excitation (SCAPE) microscopy for whole brain circuit identification in adult Drosophila, Janelia Emerging Tools for Acquisition and Interpretation of Whole-Brain Functional Data Meeting, Ashburn, VA
Neeli Mishra, Gwyneth Card (2012)
The fly puffer: investigating escape mediated by the mechanosensory system of Drosophila, Summer Undergraduate Research Fellowship (SURF) Seminar Day, Pasadena, CA
Neeli Mishra, Jack L. Beauchamp, Benjamin A. Garcia (2011)
Proteomic analysis of histone post-translational modifications and their cellular targets, Summer Undergraduate Research Fellowship (SURF) Seminar Day, Pasadena, CA
Academic Talks
Neeli Mishra, Evan S. Schaffer, Jason Freedman, Wenze Li, Venkatakaushik Voleti, Kripa Patel, Larry F. Abbott, Elizabeth M. C. Hillman, Richard Axel (2019)
Whole-brain imaging of internal and behavioral states in adult Drosophila melanogaster, Janelia Junior Scientist Workshop on Machine Learning and Computer Vision, Ashburn, VA
Neeli Mishra, Richard Axel (2017)
Identifying olfactory neural circuits in adult Drosophila using high-speed whole brain functional imaging, Columbia University Graduate Research Seminar Series, New York, NY
Neeli Mishra, Hidehiko K. Inagaki, David J. Anderson (2013)
Development of a high-throughput optogenetic screening system for freely-moving adult Drosophila, Amgen Scholars Seminar Day, Pasadena, CA