Flexible Artificial Sensory Systems Based on Neuromorphic Devices

Fuqin Sun, Qifeng Lu, Simin Feng, Ting Zhang*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

149 Citations (Scopus)

Abstract

Emerging flexible artificial sensory systems using neuromorphic electronics have been considered as a promising solution for processing massive data with low power consumption. The construction of artificial sensory systems with synaptic devices and sensing elements to mimic complicated sensing and processing in biological systems is a prerequisite for the realization. To realize high-efficiency neuromorphic sensory systems, the development of artificial flexible synapses with low power consumption and high-density integration is essential. Furthermore, the realization of efficient coupling between the sensing element and the synaptic device is crucial. This Review presents recent progress in the area of neuromorphic electronics for flexible artificial sensory systems. We focus on both the recent advances of artificial synapses, including device structures, mechanisms, and functions, and the design of intelligent, flexible perception systems based on synaptic devices. Additionally, key challenges and opportunities related to flexible artificial perception systems are examined, and potential solutions and suggestions are provided.

Original languageEnglish
Pages (from-to)3875-3899
Number of pages25
JournalACS Nano
Volume15
Issue number3
DOIs
Publication statusPublished - 23 Mar 2021
Externally publishedYes

Keywords

  • artificial nerve
  • artificial sensory systems
  • bioinspired devices
  • flexible
  • low power consumption
  • memristor
  • neuromorphic devices
  • synaptic transistor

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