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AbstractAbstract
[en] This article describes a new approach of Josephson devices for computer applications. With an artificial neural network scheme Josephson devices is expected to develop a new paradigm for future computer systems. Here the authors discuss circuit configuration for a neuron with Josephson devices. The authors proposed a combination of a variable bias source and Josephson devices for a synapse circuit. The bias source signal is steered by the Josephson device input signal and becomes the synapse output signal. These output signals are summed up at the specific resistor or inductor to produce the weighted sum of Josephson devices input signals. According to the error signal, the bias source value is corrected. This corresponds to the learning procedure
Secondary Subject
Source
1990 applied superconductivity conference; Snowmass, CO (United States); 24-28 Sep 1990; CONF-900944--
Record Type
Journal Article
Literature Type
Conference
Journal
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