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The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Recent Advances in Transistor‐Based Artificial Synapses

Dai, Shilei, Zhao, Yiwei, Wang, Yan, Zhang, Junyao, Fang, Lu, Jin, Shu, Shao, Yinlin, Huang, Jia·2019·Advanced Functional Materials

Abstract

Simulating biological synapses with electronic devices is a re‐emerging field of research. It is widely recognized as the first step in hardware building brain‐like computers and artificial intelligent systems. Thus far, different types of electronic devices have been proposed to mimic synaptic functions. Among them, transistor‐based artificial synapses have the advantages of good stability, relatively controllable testing parameters, clear operation mechanism, and can be constructed from a variety of materials. In addition, they can perform concurrent learning, in which synaptic weight update can be performed without interrupting the signal transmission process. Synergistic control of one device can also be implemented in a transistor‐based artificial synapse, which opens up the possibility of developing robust neuron networks with significantly fewer neural elements. These unique features of transistor‐based artificial synapses make them more suitable for emulating synaptic functions than other types of devices. However, the development of transistor‐based artificial synapses is still in its very early stages. Herein, this article presents a review of recent advances in transistor‐based artificial synapses in order to give a guideline for future implementation of synaptic functions with transistors. The main challenges and research directions of transistor‐based artificial synapses are also presented.

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Metadata

Authors
Dai, S., Zhao, Y., Wang, Y., Zhang, J., Fang, L., Jin, S., Shao, Y., & Huang, J.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2019-08-09
Volume
29
Issue
42
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2968992554
Cited by
671
References
12
FWCI
23.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent Advances in Transistor‐Based Artificial Synapses. https://app.cochat.ai/papers/10.1002/adfm.201903700
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Dai, S., Zhao, Y., Wang, Y., Zhang, J., Fang, L., Jin, S., Shao, Y., & Huang, J. (2019). Recent Advances in Transistor‐Based Artificial Synapses. Advanced Functional Materials. https://doi.org/10.1002/adfm.201903700

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