Chethan Pandarinath

18 papers A* 3C 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes.
CoRR
Jonathan D. McCart, Andrew R. Sedler, Christopher Versteeg, Domenick Mifsud, Mattia Rigotti-Thompson, Chethan Pandarinath
2024 A* conf
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark.
NeurIPS
Brianna Karpowicz, Joel Ye, Chaofei Fan, Pablo Tostado-Marcos, Fabio Rizzoglio, Clayton Washington, Thiago Scodeler, Diogo de Lucena, Samuel R. Nason-Tomaszewski, Matthew Mender, Xuan Ma, Ezequiel M. Arneodo, Leigh R. Hochberg, Cynthia A. Chestek, Jaimie M. Henderson, Timothy Gentner, Vikash Gilja, Lee E. Miller, Adam Rouse, Robert Gaunt, Jennifer L. Collinger, Chethan Pandarinath
2023 — conf
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.
NeurReps
Christopher Versteeg, Andrew R. Sedler, Jonathan D. McCart, Chethan Pandarinath
2023 J jnl
High-performance neural population dynamics modeling enabled by scalable computational infrastructure.
J. Open Source Softw.
Aashish N. Patel, Andrew R. Sedler, Jingya Huang, Chethan Pandarinath, Vikash Gilja
2023 J jnl
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems.
CoRR
Andrew R. Sedler, Chethan Pandarinath
2022 J jnl
Expressive architectures enhance interpretability of dynamics-based neural population models.
CoRR
Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath
2021 A* conf
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time.
NeurIPS
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
2021 J jnl
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time.
CoRR
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
2021 — conf
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity.
NeurIPS Datasets and Benchmarks
Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
2021 J jnl
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity.
CoRR
Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
2021 J jnl
Representation learning for neural population activity with Neural Data Transformers.
CoRR
Joel Ye, Chethan Pandarinath
2019 A* conf
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data.
NeurIPS
Mohammad Reza Keshtkaran, Chethan Pandarinath
2019 J jnl
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data.
CoRR
Mohammad Reza Keshtkaran, Chethan Pandarinath
2018 J jnl
A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng.
Francis R. Willett, Brian A. Murphy, Daniel Young, William D. Memberg, Christine H. Blabe, Chethan Pandarinath, Brian Franco, Jad Saab, Benjamin L. Walter, Jennifer A. Sweet, Jonathan P. Miller, Jaimie M. Henderson, Krishna V. Shenoy, John D. Simeral, Beata Jarosiewicz, Leigh R. Hochberg, Robert F. Kirsch, A. Bolu Ajiboye
2018 J jnl
Feasibility of Automatic Error Detect-and-Undo System in Human Intracortical Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng.
Nir Even-Chen, Sergey D. Stavisky, Chethan Pandarinath, Paul Nuyujukian, Christine H. Blabe, Leigh R. Hochberg, Jaimie M. Henderson, Krishna V. Shenoy
2016 J jnl
LFADS - Latent Factor Analysis via Dynamical Systems.
CoRR
David Sussillo, Rafal Józefowicz, L. F. Abbott, Chethan Pandarinath
2013 C conf
A system for optically controlling neural circuits with very high spatial and temporal resolution.
BIBE
Chethan Pandarinath, Eric T. Carlson, Sheila Nirenberg
2010 J jnl
A novel mechanism for switching a neural system from one state to another.
Frontiers Comput. Neurosci.
Chethan Pandarinath, Illya Bomash, Jonathan D. Victor, Glen T. Prusky, Wayne Tschetter, Sheila Nirenberg