DeepReducer: A linear transformer-based model for MEG denoising

DeepReducer: A linear transformer-based model for MEG denoising

Measuring event-related magnetic fields (ERFs) in magnetoencephalography (MEG) is crucial for investigating perceptual and cognitive information processing in both neuroscience research and clinical practice. However, the magnitude of the ERF in cortical sources is comparable to the noise in a singl...

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Bibliographic Details
Main Authors: Hui Xu, Li Zheng, Pan Liao, Bingjiang Lyu, Jia-Hong Gao
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:NeuroImage
Subjects:
MEG
ERF
Deep learning
Denoise
Transformer
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811925000825
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