articleNature CommunicationsDec 2, 2022GOLD OA

Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics

TWTianyu WangJMJialin MengXZXufeng ZhouYLYue LiuZHZhenyu He

Fudan University · Shanghai Innovative Research Center of Traditional Chinese Medicine · +1 more institution

PubMed
Indexed incrossrefdoajpubmed

Abstract

Abstract Neuromorphic computing memristors are attractive to construct low-power- consumption electronic textiles due to the intrinsic interwoven architecture and promising applications in wearable electronics. Developing reconfigurable fiber-based memristors is an efficient method to realize electronic textiles that capable of neuromorphic computing function. However, the previously reported artificial synapse and neuron need different materials and configurations, making it difficult to realize multiple functions in a single device. Herein, a textile memristor network of Ag/MoS 2 /HfAlO x /carbon nanotube with reconfigurable characteristics was reported, which can achieve both nonvolatile synaptic plasticity…

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244
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Topics & keywords

Topics
Keywords
  • Neuromorphic engineering
  • Memristor
  • Electronics
  • Power (physics)
  • Computer science
  • Power electronics
  • Computer architecture
  • Embedded system
UN Sustainable Development Goals
  • Affordable and clean energy
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