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Memristor Bridge Synapses

机译:忆阻桥突触

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In this paper, we propose a memristor bridge circuit consisting of four identical memristors that is able to perform zero, negative, and positive synaptic weightings. Together with three additional transistors, the memristor bridge weighting circuit is able to perform synaptic operation for neural cells. It is compact as both weighting and weight programming are performed in a memristor bridge synapse. It is power efficient, since the operation is based on pulsed input signals. Its input terminals are utilized commonly for applying both weight programming and weight processing signals via time sharing. In this paper, features of the memristor bridge synapses are investigated using the TiO memristor model via simulations.
机译:在本文中,我们提出了一个由四个相同的忆阻器组成的忆阻器电桥电路,能够执行零,负和正突触加权。忆阻器桥加权电路与三个附加晶体管一起能够对神经细胞执行突触操作。它很紧凑,因为加权和加权编程均在忆阻器桥突触中执行。由于该操作基于脉冲输入信号,因此具有很高的功率效率。它的输入端子通常用于通过时间共享施加体重编程和体重处理信号。在本文中,使用TiO忆阻器模型通过仿真研究了忆阻器桥突触的特征。

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