Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems

In recent years, neuromorphic computing has become an important emerging research area. Neuromorphic computing takes advantage of computer architectures and sensors whose design and functionality are inspired by the brain. There has been rapid progress in computational theory, spiking neurons, learning algorithms, signal processing, circuit design and implementation, which have shown appealing computational advantages over conventional solutions [1]. The low size, weight, and power of these hardware architectures shows great potential for embedded cognitive systems [2].