Self-oscillation is an emergent behavior naturally occurring in biological neural circuits, facilitating the coordination of complex locomotion and cognitive functions. Recently, I have been focusing on developing discrete dynamical system models, termed Self-Oscillatory Networks (SONs), which is proposed to model the functional behavior of such neural circuits. In brief, SONs are recurrent neural networks that generate spontaneous, self-sustaining rhythmic patterns without any input. Check out the movie below about one of the models of SONs.