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arXiv 1402.4036cs.ETcond-mat.mtrl-scics.ARcs.NE
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尖峰逻辑是基于忆阻器的计算机之路吗?

Is Spiking Logic the Route to Memristor-Based Computers?

Ella Gale, Ben de Lacy Costello, Andrew Adamatzky

摘要:

基于神经元(突触和离子泵)和忆阻器之间的相似性,忆阻器已经被建议作为类脑计算的新途径。忆阻器的直流动作是电流尖峰,我们认为这将对构建忆阻器计算机产生积极影响。在本文中,我们介绍了4种不同的逻辑分配,以实现顺序逻辑的忆阻器,并介绍了物理规则,求和,“反弹”,方向性和“递减回报”,从我们的调查阐明。然后,我们演示了忆阻器时序逻辑的工作原理,通过实例化一个“非”门,“与”门和一个全加器与一个单一的忆阻器。全加器利用忆阻器的存储器将三个二进制值加在一起,并输出值、进位数位甚至它们输入的顺序。

英文摘要:

Memristors have been suggested as a novel route to neuromorphic computing based on the similarity between neurons (synapses and ion pumps) and memristors. The D.C. action of the memristor is a current spike, which we think will be fruitful for building memristor computers. In this paper, we introduce 4 different logical assignations to implement sequential logic in the memristor and introduce the physical rules, summation, `bounce-back', directionality and `diminishing returns', elucidated from our investigations. We then demonstrate how memristor sequential logic works by instantiating a NOT gate, an AND gate and a Full Adder with a single memristor. The Full Adder makes use of the memristor's memory to add three binary values together and outputs the value, the carry digit and even the order they were input in.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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