publications

2026

1. Nature BME

   

   Perilesional neuromodulation replaces lost sensorimotor function in persons with spinal cord injury

   Jonathan Calvert, Samuel R. Parker, Lakshmi Narasimhan Govindarajan, Radu Darie, Elias Shaaya, and 20 more authors

   Nature Biomedical Engineering, 2026

   Bib HTML PDF

   @article{calvert2025perilesional,
     title = {Perilesional neuromodulation replaces lost sensorimotor function in persons with spinal cord injury},
     author = {Calvert, Jonathan and Parker, Samuel R. and Govindarajan, Lakshmi Narasimhan and Darie, Radu and Shaaya, Elias and Solinsky, Ryan and Del Valle, Lily M. and Miranda, Priyanka and Jang, Jaeson and Tiwari, Ekta and Syed, Sohail and Villalobos, Raymond M. and Aguiar, Liza M. and Taylor, Andrew J. and Tang, Hanlin and McPherson, Sean and Xue, Wenzhe and Carayannopoulos, Alexios G. and Oyelese, Adetokunbo A. and Gokaslan, Ziya L. and Bansal, Arjun K. and Resnik, Linda J. and Serre, Thomas and Fridley, Jared S. F and Borton, David A.},
     journal = {Nature Biomedical Engineering},
     year = {2026},
   }

2025

1. bioRxiv

   

   Task-optimized models of sensory uncertainty reproduce human confidence judgments

   Lakshmi Narasimhan Govindarajan, Sagarika Alavilli, and Josh McDermott

   2025

   Bib PDF

   @misc{uncertainty25,
     title = {Task-optimized models of sensory uncertainty reproduce human confidence judgments},
     author = {Govindarajan, Lakshmi Narasimhan and Alavilli, Sagarika and McDermott, Josh},
     year = {2025},
     volume = {10.1101/2025.10.31.685933},
   }

2. J. Neural Eng.

   An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation

   Samuel R Parker, Jonathan S Calvert, Radu Darie, Jaeson Jang, Lakshmi Narasimhan Govindarajan, and 6 more authors

   Journal of Neural Engineering, 2025

2024

1. NeurIPS

   

   Flexible context-driven sensory processing in dynamical vision models

   Lakshmi Narasimhan Govindarajan, Abhiram Iyer, Valmiki Kothare, and Ila Fiete

   Advances in Neural Information Processing Systems, 2024

   Bib PDF

   @article{govindarajan2024flexible,
     title = {Flexible context-driven sensory processing in dynamical vision models},
     author = {Govindarajan, Lakshmi Narasimhan and Iyer, Abhiram and Kothare, Valmiki and Fiete, Ila},
     journal = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {3832--3856},
     year = {2024},
   }

2. NeurIPS

   

   Computing a human-like reaction time metric from stable recurrent vision models

   Lore Goetschalckx^*, Lakshmi Narasimhan Govindarajan^*, Alekh Karkada Ashok, Aarit Ahuja, David Sheinberg, and 1 more author

   Advances in Neural Information Processing Systems, 2024

   Bib HTML PDF

   @article{goetschalckx2024computing,
     title = {Computing a human-like reaction time metric from stable recurrent vision models},
     author = {Goetschalckx, Lore and Govindarajan, Lakshmi Narasimhan and Karkada Ashok, Alekh and Ahuja, Aarit and Sheinberg, David and Serre, Thomas},
     journal = {Advances in Neural Information Processing Systems},
     volume = {36},
     year = {2024},
   }

3. CCN (Poster)

   A Computational Framework for Sound Localization in Auditory Scenes

   Lakshmi Narasimhan Govindarajan, Ajani Stewart, Sagarika Alavilli, and Josh H McDermott

   In 7th annual conference on Cognitive Computational Neuroscience, 2024
4. VSS (Oral)

   Time to consider time: Comparing human reaction times to dynamical signatures from recurrent vision models on a perceptual grouping task

   Alekh Karkada Ashok, Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Aarit Ahuja, David Sheinberg, and 1 more author

   Journal of Vision, 2024

2023

1. arXiv

   

   Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning

   Lakshmi Narasimhan Govindarajan, Rex G Liu, Drew Linsley, Alekh Karkada Ashok, Max Reuter, and 2 more authors

   2023

   PDF

2022

1. J. Neural Eng.

   

   Fast inference of spinal neuromodulation for motor control using amortized neural networks

   Lakshmi Narasimhan Govindarajan, Jonathan S Calvert, Samuel R Parker, Minju Jung, Radu Darie, and 4 more authors

   Journal of neural engineering, 2022
2. ICPR (Workshop)

   A practitioner’s guide to improve the logistics of spatiotemporal deep neural networks for animal behavior analysis

   Lakshmi Narasimhan Govindarajan, Rohit Kakodkar, and Thomas Serre

   In Visual observation and analysis of Vertebrate And Insect Behavior workshop, 2022
3. NeurIPS (workshop)

   

   The emergence of visual simulation in task-optimized recurrent neural networks

   Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Drew Linsley, David Sheinberg, and Thomas Serre

   In SVRHM 2022 Workshop@ NeurIPS, 2022

   PDF
4. VSS

   Toward modeling visual routines of object segmentation with biologically inspired recurrent vision models

   Lore Goetschalckx, Maryam Zolfaghar, Alekh K Ashok, Lakshmi Narasimhan Govindarajan, Drew Linsley, and 1 more author

   Journal of Vision, 2022

2021

1. NeurIPS

   

   Tracking without re-recognition in humans and machines

   Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, and 1 more author

   Advances in neural information processing systems, 2021

   Bib HTML PDF

   @article{linsley2021tracking,
     title = {Tracking without re-recognition in humans and machines},
     author = {Linsley, Drew and Malik, Girik and Kim, Junkyung and Govindarajan, Lakshmi Narasimhan and Mingolla, Ennio and Serre, Thomas},
     journal = {Advances in neural information processing systems},
     volume = {34},
     pages = {19473--19486},
     year = {2021},
   }

2. psyArXiv

   

   Using Computational Analysis of Behavior To Discover Developmental Change In Memory-Guided Attention Mechanisms In Childhood

   Dima Amso, Lakshmi Narasimhan Govindarajan, Pankaj Gupta, Diego Placido, H Baumgartner, and 6 more authors

   2021
3. VSS (Oral)

   Uncovering the circuit mechanisms that shape contextual phenomena with task-optimized recurrent neural networks

   Drew Linsley, Lakshmi Narasimhan Govindarajan, and Thomas Serre

   Journal of Vision, 2021

2020

1. J. Neurogenetics

   

   Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics

   Kelsey Nicole Schuch^*, Lakshmi Narasimhan Govindarajan^*, Yuliang Guo, Saba N Baskoylu, Sarah Kim, and 3 more authors

   bioRxiv, 2020
2. NeurIPS

   

   Stable and expressive recurrent vision models

   Drew Linsley^*, Alekh Karkada Ashok^*, Lakshmi Narasimhan Govindarajan^*, Rex Liu, and Thomas Serre

   Advances in Neural Information Processing Systems, 2020
3. eLife

   

   Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience

   Alexander Fengler, Lakshmi Narasimhan Govindarajan, Tony Chen, and Michael Frank

   Elife, 2020

2019

1. PLoS Biology

   Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures

   Shuang Wu, Kah Junn Tan, Lakshmi Narasimhan Govindarajan, James Charles Stewart, Lin Gu, and 6 more authors

   PLoS biology, 2019

2018

1. arXiv

   Robust pose tracking with a joint model of appearance and shape

   Yuliang Guo, Lakshmi Narasimhan Govindarajan, Benjamin Kimia, and Thomas Serre

   arXiv preprint arXiv:1806.11011, 2018
2. ICPR (Workshop)

   Neural Computing on a Raspberry Pi: Applications to Zebrafish Behavior Monitoring

   Lakshmi Narasimhan Govindarajan, Tarun Sharma, Ruth Colwill, and Thomas Serre

   In Visual observation and analysis of Vertebrate And Insect Behavior workshop, ICPR, 2018

2017

1. Pattern Rec.

   Hand action detection from ego-centric depth sequences with error-correcting Hough transform

   Chi Xu, Lakshmi Narasimhan Govindarajan, and Li Cheng

   Pattern Recognition, 2017
2. arXiv

   An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition

   Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan, Shu Wang, Bin Hu, and 2 more authors

   arXiv preprint arXiv:1701.00903, 2017
3. IJCV

   Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups

   Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang, and Li Cheng

   International Journal of Computer Vision, 2017

2016

1. PNAS

   Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli

   Michael G Napolitano, Matthieu Landon, Christopher J Gregg, Marc J Lajoie, Lakshmi Govindarajan, and 6 more authors

   Proceedings of the National Academy of Sciences, 2016

2014

1. ISBI

   A random-forest random field approach for cellular image segmentation

   Meiguang Jin, Lakshmi Narasimhan Govindarajan, and Li Cheng

   In 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014