Supervised Brain Network Learning Based on Deep Recurrent Neural Networks

Supervised Brain Network Learning Based on Deep Recurrent Neural Networks

Task-based functional magnetic resonance imaging (tfMRI) is a widely used neuroimaging technique in exploring brain networks and functions associated with cognitive behaviors. Traditionally, the general linear model (GLM) is the most popular method in tfMRI data analysis due to its simpleness and ro...

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Bibliographic Details
Main Authors: Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Task fMRI
brain networks
recurrent neural network
supervised dictionary learning
Online Access:https://ieeexplore.ieee.org/document/9052686/

Internet

https://ieeexplore.ieee.org/document/9052686/

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