Design and implementation of stochastic neurosystem using SFQ logic circuits

Taizo Kondo, Masayuki Kobori, Takeshi Onomi, Koji Nakajima

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


We propose a stochastic neurosystem using SFQ logic circuits and design the main components with the following functions: carrying out the multiplication of an input to a neuron on a synaptic weight value, integrating pulses to generate a membrane potential, and generating the output of a neuron. We simulate some circuits by JSIM and confirm their correct operation. We compare two methods of multipliers: using a comparator and using a divider. The multiplication using the divider is effective with respect to integration, and reduces the accumulation time Nα required for higher precision operations. We designed a 4-bit up/down counter assuming the NEC 2.5 kA/cm 2 Nb/AlOx/Nb standard process. We show that it is possible to compose the activation function circuit using a comparator.

Original languageEnglish
Pages (from-to)320-323
Number of pages4
JournalIEEE Transactions on Applied Superconductivity
Issue number2 PART I
Publication statusPublished - 2005 Jun
Externally publishedYes


  • Neural network
  • Single flux quantum
  • Stochastic logic
  • Up/down counter

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Design and implementation of stochastic neurosystem using SFQ logic circuits'. Together they form a unique fingerprint.

Cite this