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2020 – today
- 2024
[i8]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 abs/2407.21195 (2024)- 2023
- [j4]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): 5023 (2023) - [i7]Andrew R. Sedler, Chethan Pandarinath:
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems. CoRR abs/2309.01230 (2023) - 2022
- [i6]Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath:
Expressive architectures enhance interpretability of dynamics-based neural population models. CoRR abs/2212.03771 (2022) - 2021
- [c4]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 - [c3]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: 2331-2345 - [i5]Joel Ye, Chethan Pandarinath:
Representation learning for neural population activity with Neural Data Transformers. CoRR abs/2108.01210 (2021) - [i4]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. CoRR abs/2109.04463 (2021) - [i3]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 abs/2111.00070 (2021)
2010 – 2019
- 2019
- [c2]Mohammad Reza Keshtkaran, Chethan Pandarinath:
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data. NeurIPS 2019: 15911-15921 - [i2]Mohammad Reza Keshtkaran, Chethan Pandarinath:
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data. CoRR abs/1908.07896 (2019) - 2018
- [j3]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): 1771-1784 (2018) - [j2]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): 2066-2078 (2018) - 2016
- [i1]David Sussillo, Rafal Józefowicz, L. F. Abbott, Chethan Pandarinath:
LFADS - Latent Factor Analysis via Dynamical Systems. CoRR abs/1608.06315 (2016) - 2013
- [c1]Chethan Pandarinath, Eric T. Carlson, Sheila Nirenberg:
A system for optically controlling neural circuits with very high spatial and temporal resolution. BIBE 2013: 1-6 - 2010
- [j1]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: 2 (2010)
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