Electrolyte-gated synaptic transistors for brain-inspired computing

Jun Seok Ro, Hye Min An, Hea Lim Park

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations

Abstract

The limitations of von Neumann computing systems in terms of information processing speed and energy consumption were overcome using neuromorphic devices. Among these devices, electrolyte-gated synaptic transistors (EGSTs) operated through the movement of ions in electrolytes are suitable devices for neuromorphic computing owing to their efficient energy consumption and biocompatibility. Herein, we explain the basic operating principle of EGSTs and then classify recent studies into four main characteristics: synaptic plasticity, fast switching speed, low energy consumption, and biocompatibility. Finally, we address additional requirements that should be satisfied and limitations that should be overcome for various and expanded applications of EGSTs.

Original languageEnglish
Article numberSE0801
JournalJapanese Journal of Applied Physics
Volume62
Issue numberSE
DOIs
StatePublished - 1 May 2023

Keywords

  • artificial synapse
  • electrolyte-gated synaptic transistor
  • neuromorphic computing
  • neuromorphic electronics

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