Recently, several techniques are developed to record massively multiple neuronal populations. The activity dynamics of these neuronal populations are highly multidimensional. We are attempting to obtain such neuronal population activity with silicon probes or imaging techniques. We clarify the properties of the activity dynamics by utilizing deep learning and other artificial-intelligence related techniques. Our goal is to explain the generative process of animal behavior in terms of neuronal dynamics.