Universal and Convenient Optimization Strategies for Three-Terminal Memristors
Neuromorphic computing, i.e., brainlike computing, has attracted a great deal of attention because of its exceptional performance. For the hardware implementation of neuromorphic systems, the desired key building blocks, artificial synapses, have been intensively investigated recently. However, many...
Main Authors: | Kunlong Yang, Yuxiang Huan, Jiawei Xu, Zhuo Zou, Yiqiang Zhan, Lirong Zheng, Fernando Seoane |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8454450/ |
Similar Items
-
Optimized Near-Zero Quantization Method for Flexible Memristor Based Neural Network
by: Jiawei Xu, et al.
Published: (2018-01-01) -
Bipolar Analog Memristors as Artificial Synapses for Neuromorphic Computing
by: Rui Wang, et al.
Published: (2018-10-01) -
Powering Next-Generation Artificial Intelligence by Designing Three-dimensional High-Performance Neuromorphic Computing System with Memristors
by: An, Hongyu
Published: (2021) -
Von-Neumann and Beyond: Memristor Architectures
by: Naous, Rawan
Published: (2017) -
Enhanced Switching Properties in TaO<sub>x</sub> Memristors Using Diffusion Limiting Layer for Synaptic Learning
by: Pei-Yu Jung, et al.
Published: (2020-01-01)