Sensitivity of Spiking Neural Networks Due to Input Perturbation

Sensitivity of Spiking Neural Networks Due to Input Perturbation

<b>Background:</b> To investigate the behavior of spiking neural networks (SNNs), the sensitivity of input perturbation serves as an effective metric for assessing the influence on the network output. However, existing methods fall short in evaluating the sensitivity of SNNs featuring bi...

Full description

Saved in:
Bibliographic Details
Main Authors: Haoran Zhu, Xiaoqin Zeng, Yang Zou, Jinfeng Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Brain Sciences
Subjects:
spiking neural network
sensitivity
temporal coding
leaky integrate-and-fire
Online Access:https://www.mdpi.com/2076-3425/14/11/1149
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items