states, routes to chaos, synchronization and nonlinear oscillations, or bifurcations. Bifurcations are particularly important to understand phenomena like Covid19 disease propagation or climate change In [...] recurrent neural networks (RNNs), as commonly used to model and predict sequential and time series data, are nonlinear dynamical systems themselves whose behavior can be analyzed by DST tools. RNNs may also be