Publication
Dynamic State Reconstruction in High-Dimensional Neural Systems
This paper introduces a probabilistic framework for reconstructing time-dependent neural state from incomplete multimodal observations. The method separates structural constraints from dynamic parameters and evaluates reconstructed trajectories against held-out response sequences.