ResearchTrend.AI
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
v1v2 (latest)

EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network

Bin Wang
Fei Deng
Peifan Jiang
ArXiv (abs)PDFHTML

Papers citing "EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network"

2 / 2 papers shown
Title
A Survey of Retentive Network
A Survey of Retentive Network
Haiqi Yang
Zhiyuan Li
Yi-Ju Chang
Yuan Wu
3DVAI4TS
13
0
0
07 Jun 2025
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)
Benjamin J. Choi
130
1
0
07 Feb 2025

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.