no code implementations • 12 Sep 2023 • Christopher Versteeg, Andrew R. Sedler, Jonathan D. McCart, Chethan Pandarinath
Overall, ODIN's accuracy in recovering ground-truth latent features and ability to accurately reconstruct neural activity with low dimensionality make it a promising method for distilling interpretable dynamics that can help explain neural computation.
1 code implementation • 7 Dec 2022 • Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath
Artificial neural networks that can recover latent dynamics from recorded neural activity may provide a powerful avenue for identifying and interpreting the dynamical motifs underlying biological computation.
