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Neuromorphic information processing systems offer the potential to overcome imminent problems of state-of-the-art computers, in particular the energy efficiency problem, the device reliability problem and the software complexity problem. This paper starts with a short overview of state-of-the-art neuromorphic hardware implementations and their applications. It then describes the time-accelerated mixed-signal approach of the BrainScaleS project in some detail.
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Karlheinz Meier (2015) studied this question.