The paper `Unlocking neural population non-stationarities using hierarchical dynamics models’ by Mijung (Website) and Gergo Bohner was accepted at NIPS. There were 1838 submissions to NIPS this year, 403 of which were accepted at the conference. Pdf and code will follow soon. In this paper, we developed a model and inference procedure for tracking changes in the parameters of population models across trials. To illustrate the method, we used data that was kindly provided to us by Alexander Ecker.