BIDL: a brain-inspired deep learning framework for spatiotemporal processing
Brain-inspired deep spiking neural network (DSNN) which emulates the function of the biological brain provides an effective approach for event-stream spatiotemporal perception (STP), especially for dynamic vision sensor (DVS) signals.However, there is a lack of generalized learning frameworks that can handle various spatiotemporal modalities beyond