reviewAdvanced MaterialsSep 24, 2019Closed access

Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

Institute of Microelectronics · Tsinghua University · +2 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

As the research on artificial intelligence booms, there is broad interest in brain-inspired computing using novel neuromorphic devices. The potential of various emerging materials and devices for neuromorphic computing has attracted extensive research efforts, leading to a large number of publications. Going forward, in order to better emulate the brain's functions, its relevant fundamentals, working mechanisms, and resultant behaviors need to be re-visited, better understood, and connected to electronics. A systematic overview of biological and artificial neural systems is given, along with their related critical mechanisms. Recent progress in neuromorphic devices is reviewed and, more importantly, the…

Citation impact

806
total citations
FWCI
33.78
Percentile
100%
References
288
Citations per year

Authors

16

Topics & keywords

Keywords
  • Neuromorphic engineering
  • Materials science
  • Bridging (networking)
  • Nanotechnology
  • Artificial neural network
  • Engineering physics
  • Artificial intelligence
  • Computer science
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