Finding and analyzing likely models that describe neural population responses

In this paper, we outline a manner in which we determine likely models that can describe a given set of neural population response data. We then use this information regarding the likelihood of all possible models to determine the Kullback-Leibler distance between neural population responses to different stimulus conditions.