Fundamental issues of implementing hardware neural networks using memristor

This paper presents critical issues of memristor degrading the performance of neuromorphic system. Among possible defects of memristor, problems of sneak path and weight retention are critical for performance of memristive neuromorphic system. To solve these inherent problems, specific methods are introduced, and consequently, it is suggested that the memristor which satisfies the specification required in system is essential.