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Neurons, Behavior, Data Analysis, and Theory|May 3, 2024
Expressive architectures enhance interpretability of dynamics-based neural population modelsAndrew R Sedler, Christopher Versteeg, Chethan PandarinathArxiv|September 25, 2023
Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activityChristopher Versteeg, Andrew R Sedler, Jonathan D McCart, et al.Arxiv|August 12, 2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent CodesJonathan D McCart, Andrew R Sedler, Christopher Versteeg, et al.Proceedings of the National Academy of Sciences of the United States of America|August 15, 2012
Retinal prosthetic strategy with the capacity to restore normal visionSheila Nirenberg, Chethan PandarinathPhysiological Reviews|September 20, 2021
The science and engineering behind sensitized brain-controlled bionic handsChethan Pandarinath, Sliman J BensmaiaNature Methods|November 28, 2022
A large-scale neural network training framework for generalized estimation of single-trial population dynamicsMohammad Reza Keshtkaran, Andrew R Sedler, Raeed H Chowdhury, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 30, 2010
Symmetry breakdown in the ON and OFF pathways of the retina at night: functional implicationsChethan Pandarinath, Jonathan D Victor, Sheila NirenbergNature Communications|November 1, 2025
Spinal interneuron population dynamics underlying flexible pattern generationLahiru N Wimalasena, Chethan Pandarinath, Nicholas AuYongProceedings. IEEE International Symposium on Bioinformatics and Bioengineering|February 21, 2015
A system for optically controlling neural circuits with very high spatial and temporal resolutionChethan Pandarinath, Eric T Carlson, Sheila NirenbergBiorxiv : the Preprint Server for Biology|July 1, 2024
Spinal interneuron population dynamics underlying flexible pattern generationLahiru N Wimalasena, Chethan Pandarinath, Nicholas Au YongPageof 6