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Biological function simulation in neuromorphic devices: from synapse and neuron to behavior.

Hui ChenHuilin LiTing MaShuangshuang HanQiuping Zhao
Published in: Science and technology of advanced materials (2023)
As the boom of data storage and processing, brain-inspired computing provides an effective approach to solve the current problem. Various emerging materials and devices have been reported to promote the development of neuromorphic computing. Thereinto, the neuromorphic device represented by memristor has attracted extensive research due to its outstanding property to emulate the brain's functions from synaptic plasticity, sensory-memory neurons to some intelligent behaviors of living creatures. Herein, we mainly review the progress of these brain functions mimicked by neuromorphic devices, concentrating on synapse (i.e. various synaptic plasticity trigger by electricity and/or light), neurons (including the various sensory nervous system) and intelligent behaviors (such as conditioned reflex represented by Pavlov's dog experiment). Finally, some challenges and prospects related to neuromorphic devices are presented.
Keyphrases
  • resting state
  • white matter
  • functional connectivity
  • cerebral ischemia
  • working memory
  • electronic health record
  • machine learning
  • current status
  • artificial intelligence