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Andrew R Sedler

Showing results (1-10 of 7) with videos related to

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Frontiers in Bioengineering and Biotechnology|July 24, 2019
SemNet: Using Local Features to Navigate the Biomedical Concept GraphAndrew R Sedler, Cassie S Mitchell
Neurons, Behavior, Data Analysis, and Theory|May 3, 2024
Expressive architectures enhance interpretability of dynamics-based neural population modelsAndrew R Sedler, Christopher Versteeg, Chethan Pandarinath
Arxiv|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.
Journal of Open Source Software|July 31, 2023
High-performance neural population dynamics modeling enabled by scalable computational infrastructureAashish N Patel, Andrew R Sedler, Jingya Huang, 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.
Nature 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.
Nature Communications|May 19, 2025
Stabilizing brain-computer interfaces through alignment of latent dynamicsBrianna M Karpowicz, Yahia H Ali, Lahiru N Wimalasena, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Bioengineering and Biotechnology|July 24, 2019
SemNet: Using Local Features to Navigate the Biomedical Concept GraphAndrew R Sedler, Cassie S Mitchell
Neurons, Behavior, Data Analysis, and Theory|May 3, 2024
Expressive architectures enhance interpretability of dynamics-based neural population modelsAndrew R Sedler, Christopher Versteeg, Chethan Pandarinath
Arxiv|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.
Journal of Open Source Software|July 31, 2023
High-performance neural population dynamics modeling enabled by scalable computational infrastructureAashish N Patel, Andrew R Sedler, Jingya Huang, 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.
Nature 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.
Nature Communications|May 19, 2025
Stabilizing brain-computer interfaces through alignment of latent dynamicsBrianna M Karpowicz, Yahia H Ali, Lahiru N Wimalasena, et al.
Pageof 1