A Graph Fourier Transform Based Bidirectional Long Short-Term Memory Neural Network for Electrophysiological Source Imaging

A Graph Fourier Transform Based Bidirectional Long Short-Term Memory Neural Network for Electrophysiological Source Imaging

Electrophysiological source imaging (ESI) refers to the process of reconstructing underlying activated sources on the cortex given the brain signal measured by Electroencephalography (EEG) or Magnetoencephalography (MEG). Due to the ill-posed nature of ESI, solving ESI requires the design of neuroph...

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Bibliographic Details
Main Authors: Meng Jiao, Guihong Wan, Yaxin Guo, Dongqing Wang, Hang Liu, Jing Xiang, Feng Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Neuroscience
Subjects:
electroencephalography
source localization
inverse problem
graph Fourier transform
BiLSTM
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.867466/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.867466/full

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