Pulsed neural networks consisting of single-flux-quantum spiking neurons

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概要

• 論文の詳細を見る

• An inhibitory pulsed neural network was developed for brain-like information processing, by using single-flux-quantum (SFQ) circuits. It consists of spiking neuron devices that are coupled to each other through all-to-all inhibitory connections. The network selects neural activity. The operation of the neural network was confirmed by computer simulation. SFQ neuron devices can imitate the operation of the inhibition phenomenon of neural networks.

• Elsevier B.V.の論文
• 2007-10-01

著者

• Asai Tetsuya

  Hokkaido Univ. Sapporo Jpn

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