.png){kind=icon}
返回
Oscillator Array Models for Associative Memory and Pattern Recognition
.png){kind=icon}
OA
AI
DOI：10.1109/TCSI.2015.2418851.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Brain-inspired arrays of parallel processing oscillators represent an intriguing alternative to traditional computational methods for data analysis and recognition. This alternative is now becoming more concrete thanks to the advent of emerging oscillators fabrication technologies providing high density packaging and low power consumption. One challenging issue related to oscillator arrays is the large number of system parameters and the lack of efficient computational techniques for array simulation and performance verification. This paper provides a realistic phase-domain modeling and simulation methodology of oscillator arrays which is able to account for the relevant device non-idealities. The model is employed to investigate the associative memory performance of arrays composed of resonant LC oscillators.
Keyword:
Associative memory
neurocomputing
oscillator array
phase-domain modeling
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.2
论文数:
9.8K
被引数:
2.2W
机构
引用论文
Delivery of an immunogenic cell death-inducing copper complex to cancer stem cells using polymeric nanoparticles.png)
RSC Advances
OAAI
RSC AdvancesIF0
OAAI分享收藏
查看更多内容