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

ABSTRACTAs 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...

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Bibliographic Details
Main Authors: Hui Chen, Huilin Li, Ting Ma, Shuangshuang Han, Qiuping Zhao
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Science and Technology of Advanced Materials
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/14686996.2023.2183712
Description
Summary:ABSTRACTAs 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.
ISSN:1468-6996
1878-5514