Topic: Neural Ordinary Differential Equation

An emerging perspective in neuroscience connects neural dynamics, or the rules that govern how neural population activity develops over time, to functional computations performed by the brain [1]. Unfortunately, neural dynamics cannot be observed directly and must instead be inferred from neural recordings. One promising method to infer these dynamics is to use a latent dynamics model, commonly a Sequential Auto-Encoder (SAE), to reconstruct neural activity [2] with the assumption that better reconstruction performance corresponds to better dynamical accuracy. Unfortunately, most SAE readouts,