Implementation of superconducting synapses into a neuron-based analog-to-digital converter

Yoshinao Mizugaki, Koji Nakajima, Yasuji Sawada, Tsutomu Yamashita

研究成果: Article査読

4 被引用数 (Scopus)

抄録

A superconducting synapse circuit, which allows digitally variable synaptic weights, is presented. Each bit of the synapse circuit consists of 2 m (m=0, 1, 2,.) double-junction SQUIDs (superconducting quantum interference devices). Numerical simulation shows that the output current of the circuit can be changed digitally by switching the bias currents. To demonstrate this ability of the synapse experimentally, a superconducting neural network which functions as a 3-bit A/D (analog-to-digital) converter has been fabricated using a niobium integration technology. The network contains three neurons composed of coupled SQUIDs and three synapses composed of double-junction SQUIDs. This is the first successful implementation of such an active synapse into a superconducting neural network.

本文言語English
ページ(範囲)1712-1713
ページ数2
ジャーナルApplied Physics Letters
65
13
DOI
出版ステータスPublished - 1994 12 1

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)

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