most citedAttention module improves both performance and interpretability of 4D fMRI decoding neural network

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

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…

eess.IV2021★ 4 cited

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…