Dynamical systems tools offer a complementary approach to detailed biophysical seizure modeling, with high potential for clinical applications. This review describes the theoretical framework, allowing theorizing certain properties of seizures and their classifications according to their dynamics properties at onset and offset. We describe various modeling approaches spanning different scales, from single neurons to large-scale networks. We try to offer a large accessible overview through nonexhaustive examples of recent important works.