Artificial Synapse Emulated by Charge Trapping-Based Resistive Switching Device

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Shi-Rui Zhang
  • Li Zhou
  • Jing-Yu Mao
  • Yi Ren
  • Jia-Qin Yang
  • Guang-Hu Yang
  • Xin Zhu
  • Su-Ting Han
  • Ye Zhou

Detail(s)

Original languageEnglish
Article number1800342
Journal / PublicationAdvanced Materials Technologies
Volume4
Issue number2
Online published9 Oct 2018
Publication statusPublished - Feb 2019

Abstract

The traditional Von Neumann architecture-based computers are considered to be inadequate in the coming artificial intelligence era due to increasing computation complexity and rising power consumption. Neuromorphic computing may be the key role to emulate the human brain functions and eliminate the Von Neumann bottleneck. As a basic unit in the nervous system, a synapse is responsible for transmitting information between neurons. Resistive random access memory (RRAM) is able to imitate the synaptic functions because of its tunable resistive switching behavior. Here, an artificial synapse based on solution processed polyvinylpyrrolidone (PVPy)–Au nanoparticle (NP) hybrid is fabricated, various synaptic functions including paired-pulse facilitation (PPF), posttetanic potentiation (PTP), transformation from short-term plasticity (STP) to long-term plasticity (LTP) and learning-forgetting-relearning process are emulated, making the polymer–metal NPs hybrid system valuable candidates for the design of novel artificial neural architectures.

Research Area(s)

  • artificial synapse, charge trapping, hybrid materials, resistive random access memory, solution process

Citation Format(s)

Artificial Synapse Emulated by Charge Trapping-Based Resistive Switching Device. / Zhang, Shi-Rui; Zhou, Li; Mao, Jing-Yu et al.

In: Advanced Materials Technologies, Vol. 4, No. 2, 1800342, 02.2019.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review