Integrated Crossbar Array with Resistive Synapses and Oscillation Neurons

Jiyong Woo, Panni Wang, Shimeng Yu

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In this letter, we fabricate a crossbar array that structurally resembles a column of the neural network, where one neuron is connected with multiple synapses in parallel for on-chip integration. Instead of using complex CMOS neuronal circuit, we integrate a threshold switch at the edge of the crossbar array as a compact oscillation neuron, which converts the weighted sum to an oscillation frequency. When the input vectors are loaded into multiple rows of the array, the oscillation frequency is measured to be proportional to the analog column current. This is the first experimental demonstration of an integrated crossbar array with both synapses and neurons, paving the path to a fully parallel computation and processing using emerging device technologies for the neuromorphic computing.

Original languageEnglish (US)
Article number8733058
Pages (from-to)1313-1316
Number of pages4
JournalIEEE Electron Device Letters
Volume40
Issue number8
DOIs
StatePublished - Aug 1 2019

Keywords

  • crossbar array
  • neuromorphic computing
  • oscillation neuron
  • Resistive synapse

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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