Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage

Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage

Background: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing power. In this context, spiking neural networks sh...

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Bibliographic Details
Main Authors: Yongqiang Zhang, Haijie Pang, Jinlong Ma, Guilei Ma, Xiaoming Zhang, Menghua Man
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Brain Sciences
Subjects:
electromagnetic protection mode
spiking neural network
traditional artificial neural network
network connection damage
anti-interference performance
Online Access:https://www.mdpi.com/2076-3425/15/3/217
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