articleAdvanced Functional MaterialsAug 9, 2019Closed access

Recent Advances in Transistor‐Based Artificial Synapses

Tongji University · Central Hospital of Putuo District

Indexed incrossref

Abstract

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…

Citation impact

647
total citations
FWCI
32.45
Percentile
100%
References
144
Citations per year

Authors

8

Topics & keywords

Keywords
  • Transistor
  • Computer science
  • Synapse
  • Artificial neural network
  • Process (computing)
  • Artificial intelligence
  • Synaptic weight
  • Materials science
No related works found for this paper.

Funding