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Spiking Neural Network

Spiking Neural Network Robustness: a spike loss of 20% induces almost the same average relative error as no spike loss. When the spike loss is very high though (40%), the error becomes significant; Energy efficiency: The energy ratio with the ATOM processor varies between 7x and about two orders of magnitude, depending on the application and SNR. with ReRAM memory tech the energy saving will go beyond 3 orders of magnitude

Selebriti Toolbox compiler: Frontend Layer Backend Layer Training Sets Library Classifer Builder Hardware constraints µController HW realization Sensory Data DSE Mapping ASIC Hand-optimized HW&SW Templates Heterogeneous integration

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