Before revision: Networks of spiking neurons ( SNNs)are frequently studied as models for networks of neurons in the brain, but also as paradigm for novel energy efficient computing hardware. In principle they are especially suitable for computations in the temporal domain , such as speech processing, because their computations are carried out via events in time and space.
After revision: Networks of spiking neurons ( RSNNs). But computing and learning capabilities of currently available RSNN models have remained poor, especially in comparison with the performance of recurrent networks of artificial neurons , such as speech processing, because their computations are carried out via events in time and space.