Chethan Pandarinath

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 14

Top Topics

Backpropagation Neural Network

Factor Analysis

Latent Variable Models

Top Venues

IEEE Trans. Biomed. Eng.

NeurIPS Datasets and Benchmarks

Publications

Jonathan D. McCart, Andrew R. Sedler, Christopher Versteeg, Domenick Mifsud, Mattia Rigotti-Thompson, Chethan Pandarinath
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes. CoRR (2024)
Aashish N. Patel, Andrew R. Sedler, Jingya Huang, Chethan Pandarinath, Vikash Gilja
High-performance neural population dynamics modeling enabled by scalable computational infrastructure. J. Open Source Softw. 8 (83) (2023)
Andrew R. Sedler, Chethan Pandarinath
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems. CoRR (2023)
Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath
Expressive architectures enhance interpretability of dynamics-based neural population models. CoRR (2022)
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
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks (2021)
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. NeurIPS (2021)
Joel Ye, Chethan Pandarinath
Representation learning for neural population activity with Neural Data Transformers. CoRR (2021)
Felix Pei, Joel Ye, David L. 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
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR (2021)
Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. CoRR (2021)
Mohammad Reza Keshtkaran, Chethan Pandarinath
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data. CoRR (2019)
Mohammad Reza Keshtkaran, Chethan Pandarinath
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data. NeurIPS (2019)
Nir Even-Chen, Sergey D. Stavisky, Chethan Pandarinath, Paul Nuyujukian, Christine H. Blabe, Leigh R. Hochberg, Jaimie M. Henderson, Krishna V. Shenoy
Feasibility of Automatic Error Detect-and-Undo System in Human Intracortical Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 65 (8) (2018)
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
A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 65 (9) (2018)
David Sussillo, Rafal Józefowicz, L. F. Abbott, Chethan Pandarinath
LFADS - Latent Factor Analysis via Dynamical Systems. CoRR (2016)
Chethan Pandarinath, Eric T. Carlson, Sheila Nirenberg
A system for optically controlling neural circuits with very high spatial and temporal resolution. BIBE (2013)
Chethan Pandarinath, Illya Bomash, Jonathan D. Victor, Glen T. Prusky, Wayne Tschetter, Sheila Nirenberg
A novel mechanism for switching a neural system from one state to another. Frontiers Comput. Neurosci. 4 (2010)