Bottleneck of using single memristor as a synapse and its solution

Computer Science – Neural and Evolutionary Computing

Scientific paper

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5 pages, 3 figures, Submitted to IEEE Transactions on Neural Networks, See its copyright policy

Scientific paper

Physical realization of the first memristor by researchers at Hewlett Packard (HP) labs attracts so much interest in this newly found circuit element which has so many applications specially in a field of neuromorphic systems. Now, it is well known that one of the main applications of memristor is for the hardware implementation of synapses because of their capability in dense fabrication and acting as a perfect analog memory. However, synapses in biological systems have this property that by progressing in the learning process, variation rate of the synapses weights should decrease which is not the case in the currently suggested memristor-based structures of neuromorphic systems. In this paper, we show that using two dissimilar memristors connected in series as a synapse perform better than the single memristor.

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