Organic Memristor with Synaptic Plasticity for Neuromorphic Computing Applications

Organic Memristor with Synaptic Plasticity for Neuromorphic Computing Applications

Memristors have been considered to be more efficient than traditional Complementary Metal Oxide Semiconductor (CMOS) devices in implementing artificial synapses, which are fundamental yet very critical components of neurons as well as neural networks. Compared with inorganic counterparts, organic me...

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Bibliographic Details
Main Authors: Jianmin Zeng, Xinhui Chen, Shuzhi Liu, Qilai Chen, Gang Liu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Nanomaterials
Subjects:
artificial synapse
synaptic plasticity
organic memristor
neuromorphic computing
artificial neural networks
Online Access:https://www.mdpi.com/2079-4991/13/5/803

Internet

https://www.mdpi.com/2079-4991/13/5/803

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