Implementation of new superconducting neural circuits using coupled SQUIDs
Implementation of new superconducting neural circuits using coupled SQUIDs
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使用耦合 SQUID 实现新型超导神经电路
DOI：
10.1109/77.273058
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发表时间：
1994
影响因子：
1.8
通讯作者：
T. Yamashita
中科院分区：
文献类型：
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作者：
Y. Mizugaki;K. Nakajima;Y. Sawada;T. Yamashita
提出了一种基于超导量子干涉仪（SQUID）的新型超导神经元电路和两种可变突触。一个神经元电路具有良好的输入-输出隔离和陡峭的阈值特性，使用耦合到一个双结SQUID的单结SQUID的组合。单结SQUID的量子态表示神经元状态，并且双结SQUID的输出电压是输入的S形函数，该双结SQUID在具有分流电阻的非锁存模式下操作。这两种可变突触回路都是由多个并联的双结SQUID组成。第一种类型通过使用超导和电压状态来改变其电导值。第二可变突触电路通过切换其偏置电流来数字地改变其输出电流。除了电路特性的数值模拟，我们已经制作了超导神经芯片在Nb/AlO/sub x//Nb约瑟夫森结技术。每个元素的基本操作和2位神经为基础的A/D转换器已成功地进行了测试。本文还讨论了一个具有可变突触的学习系统。<<ETX>>
A novel superconducting neuron circuit and two types of variable synapses, which are based on superconducting quantum interferometer devices (SQUIDs), are presented. A neuron circuit with good input-output isolation and steep threshold characteristics is accomplished using a combination of a single-junction SQUID coupled to a double-junction SQUID. The quantum state of the single-junction SQUID represents the neuron state, and the output voltage of the double-junction SQUID, which is operated in a nonlatching mode with shunt resistors, is a sigmoid-shaped function of the input. Both variable synapse circuits are composed of multiple shunted double-junction SQUIDs. The first type changes its conductance value by using both superconducting and voltage states. The second variable synapse circuit changes its output current digitally by switching its bias currents. Besides numerical simulations of the circuit characteristics, we have fabricated superconducting neural chips in a Nb/AlO/sub x//Nb Josephson junction technology. The fundamental operation of each element and a 2-bit neural-based A/D converter have been successfully tested. A learning system with a variable synapse is also discussed.<<ETX>>
K.Nakajima，Y.Hayakawa：“正确反应神经网络”神经网络。
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