This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Abstract: Nonlinear feedback design via state-dependent Riccati equations is well established but unfeasible for large-scale systems because of computational costs. If the system can be embedded in ...

Abstract: In this study, a visualization teaching platform based on deep learning algorithms is designed and implemented to address the problems of abstract concepts and esoteric theories in linear ...