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Hardware implementation of associative memory characteristics with analogue-type resistive-switching device

  • Kibong Moon
  • , Sangsu Park
  • , Junwoo Jang
  • , Daeseok Lee
  • , Jiyong Woo
  • , Euijun Cha
  • , Sangheon Lee
  • , Jaesung Park
  • , Jeonghwan Song
  • , Yunmo Koo
  • , Hyunsang Hwang
  • Pohang University of Science and Technology
  • Gwangju Institute of Science and Technology

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

We have investigated the analogue memory characteristics of an oxide-based resistive-switching device under an electrical pulse to mimic biological spike-timing-dependent plasticity synapse characteristics. As a synaptic device, a TiN/Pr0.7Ca0.3MnO3-based resistive-switching device exhibiting excellent analogue memory characteristics was used to control the synaptic weight by applying various pulse amplitudes and cycles. Furthermore, potentiation and depression characteristics with the same spikes can be achieved by applying negative and positive pulses, respectively. By adopting complementary metal-oxide-semiconductor devices as neurons and TiN/PCMO devices as synapses, we implemented neuromorphic hardware that mimics associative memory characteristics in real time for the first time. Owing to their excellent scalability, resistive-switching devices, shows promise for future high-density neuromorphic applications.

Original languageEnglish
Article number495204
JournalNanotechnology
Volume25
Issue number49
DOIs
StatePublished - 12 Dec 2014

Keywords

  • Neuromorphic applications
  • Resistive-switching device
  • Spike-timing-dependent plasticity

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