Researchers propose REACT, a fully spiking state-space model for event-driven temporal perception. REACT processes raw events from event cameras without temporal accumulation, allowing for fast reaction times. It achieves low-latency gesture recognition and time-to-collision estimation, with potential applications in robotic systems.