This repository corresponds to the paper "Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior" by Eva Yezerets, En Yang, Misha B. Ahrens, and Adam S. Charles (https://arxiv.org/abs/2603.05612). The data can be found at https://osf.io/syvx5/.
Scripts for running the model can be found in the Experiments directory.
The original backbone of this repository was based on https://github.com/dLDS-Decomposed-Linear-Dynamics/dLDS-Discrete-Matlab-Model (Mudrik et al. 2024, "Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics", https://jmlr.org/papers/v25/23-0777.html).