103 citations · 107 across the 3 of their papers we have counts for
4 papers
Volume-Wise Task fMRI Decoding with Deep Learning:Enhancing Temporal Resolution and Cognitive Function Analysis
Yueyang Wu, Sinan Yang, Yanming Wang +4
In recent years,the application of deep learning in task functional Magnetic Resonance Imaging (tfMRI) decoding has led to significant advancements. However,most studies remain con…
MRGazer: Decoding Eye Gaze Points from Functional Magnetic Resonance Imaging in Individual Space
Xiuwen Wu, Rongjie Hu, Jie Liang +3
Eye-tracking research has proven valuable in understanding numerous cognitive functions. Recently, Frey et al. provided an exciting deep learning method for learning eye movements…
Attention module improves both performance and interpretability of 4D fMRI decoding neural network
Zhoufan Jiang, Yanming Wang, ChenWei Shi +6
Decoding brain cognitive states from neuroimaging signals is an important topic in neuroscience. In recent years, deep neural networks (DNNs) have been recruited for multiple brain…
Decoding and mapping task states of the human brain via deep learning
Xiaoxiao Wang, Xiao Liang, Zhoufan Jiang +9
Support vector machine (SVM) based multivariate pattern analysis (MVPA) has delivered promising performance in decoding specific task states based on functional magnetic resonance…