publications

asterisk denotes equal contibution

2023

  1. lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems
    Andrew R Sedler, and Chethan Pandarinath
    arXiv 2023
  2. Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity
    Christopher Versteeg, Andrew R Sedler, Jonathan D McCart, and 1 more author
    arXiv 2023
  3. Expressive architectures enhance interpretability of dynamics-based neural population models
    Andrew R Sedler, Christopher Versteeg, and Chethan Pandarinath
    Neurons, Behavior, Data analysis, and Theory 2023
  4. High-performance neural population dynamics modeling enabled by scalable computational infrastructure
    Aashish N Patel*, Andrew R Sedler*, Jingya Huang, and 2 more authors
    Journal of Open Source Software 2023

2022

  1. A large-scale neural network training framework for generalized estimation of single-trial population dynamics
    Mohammad Reza Keshtkaran*Andrew R Sedler*, Raeed H Chowdhury, and 7 more authors
    Nature Methods 2022
  2. Stabilizing brain-computer interfaces through alignment of latent dynamics
    Brianna M Karpowicz, Yahia H Ali, Lahiru N Wimalasena, and 6 more authors
    bioRxiv 2022

2021

  1. Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
    Feng Zhu*Andrew R Sedler*, Harrison A Grier, and 5 more authors
    Advances in Neural Information Processing Systems 2021