Before revision:  This naturally challenges the formulation of biologically inspired RSNNs in order to improve our understanding of biological intelligence and the efficiency of artificial ones . Several spiking network models have been proposed  but it remains a challenge to design RSNNs that use biologically plausible mechanisms  capable of solving complex temporal tasks.
After revision:  This naturally challenges the formulation of biologically inspired RSNNs in order to improve our understanding of biological intelligence and the efficiency of artificial ones . Several spiking models and learning rules have been proposed but it remains a challenge to design RSNNs that use biologically plausible mechanisms capable of solving complex temporal tasks.