Andrew R. Sedler

According to our database, Andrew R. Sedler authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes.

Jonathan D. McCart, Andrew R. Sedler, Christopher Versteeg, Domenick Mifsud, Mattia Rigotti-Thompson, Chethan Pandarinath

CoRR, 2024

2023

High-performance neural population dynamics modeling enabled by scalable computational infrastructure.

Aashish N. Patel, Andrew R. Sedler, Jingya Huang, Chethan Pandarinath, Vikash Gilja

J. Open Source Softw., March, 2023

General and interpretable models for inferring dynamical computation in biological neural networks.

Andrew R. Sedler

PhD thesis, 2023

lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems.

Andrew R. Sedler, Chethan Pandarinath

CoRR, 2023

Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.

Christopher Versteeg, Andrew R. Sedler, Jonathan D. McCart, Chethan Pandarinath

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

2022

Expressive architectures enhance interpretability of dynamics-based neural population models.

Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath

CoRR, 2022

2021

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time.

Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021