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Andrew R. Sedler

Affiliations: 
2017- Biomedical Engineering Georgia Institute of Technology, Atlanta, GA 
Area:
Machine Learning, Dynamical Systems
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Chethan Pandarinath grad student 2019- Georgia Tech

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McCart JD, Sedler AR, Versteeg C, et al. (2024) Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes. Arxiv
Sedler AR, Versteeg C, Pandarinath C. (2023) Expressive architectures enhance interpretability of dynamics-based neural population models. Neurons, Behavior, Data Analysis, and Theory. 2023
Versteeg C, Sedler AR, McCart JD, et al. (2023) Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity. Arxiv
Patel AN, Sedler AR, Huang J, et al. (2023) High-performance neural population dynamics modeling enabled by scalable computational infrastructure. Journal of Open Source Software. 8
Keshtkaran MR, Sedler AR, Chowdhury RH, et al. (2022) A large-scale neural network training framework for generalized estimation of single-trial population dynamics. Nature Methods
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