期刊论文

Wang, G

英文

Frontiers in Computational Neuroscience

1662-5188

2025

19

1452203

10.3389/fncom.2025.1452203

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research is supported by the Beijing Nova Program (2022038), the National Natural Science Foundation of China (62102443), and Hunan Provincial Natural Science Foundation Key Joint Project Between Province and City (2024JJ7428).

本校为第一机构

Traditional object detection methods usually underperform when locating tiny or small drones against complex backgrounds, since the appearance features of the targets and the backgrounds are highly similar. To address this, inspired by the magnocellular motion processing mechanisms, we proposed to utilize the spatial–temporal characteristics of the flying drones based on spiking neural networks, thereby developing the Magno-Spiking Neural Network (MG-SNN) for drone detection. The MG-SNN can learn to identify potential regions of moving targets...