Ying-Hao Qi

Evolving robust memristive spiking neural networks via metaheuristic algorithms for noise-resilient neuromorphic inference

Neuromorphic systems hold the promise of ultra-low-power event-conditions intelligence, but noise and non-idealities of hardware of the memristive devices limit their practical use. Nonetheless, it is not understood how to attain an inference which is both noise-robust and accurate as well as energy-efficient across re...