When predict can also explain: few-shot prediction to select better neural latents
Population recording offer a window into the underlying dynamics of brain regions. Latent Variable Models (LVMs) infer these dynamics treating the observations as projections from the latents. Evaluating the quality of these models remains challenging, as we don't have access to the true underlying dynamics. A common approach, "co-smoothing", involves jointly estimating latent variables from neural data and predicting the firing rates of held-out neurons. However, we find that optimizing this single objective often yields models that include extraneous dynamics not relevant to the underlying n