TR-SNN: a lightweight spiking neural network based on tensor ring decomposition
Aim Spiking neural networks (SNNs), inspired by biological neural mechanisms, have demonstrated remarkable capabilities in various intelligent tasks. However, addressing more complex scenarios often requires larger SNN models with a vast number of parameters, leading to challenges in model training...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | Brain-Apparatus Communication |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27706710.2025.2472166 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|