General and stable emulation of finite state machines with spiking neural networks
Finite state machines (FSMs) are fundamental models widely used in a variety of domains for state control.However, they face challenges in modeling complex especially black-box systems without explicit state descriptions.Neural networks, conversely, excel at modeling implicit and continuous systems but struggling with the temporally stable and prec