Attention module improves both performance and interpretability of four‐dimensional functional magnetic resonance imaging decoding neural network
Z Jiang, Y Wang, CW Shi, Y Wu, R Hu… - Human brain …, 2022 - Wiley Online Library
Decoding brain cognitive states from neuroimaging signals is an important topic in
neuroscience. In recent years, deep neural networks (DNNs) have been recruited for …
neuroscience. In recent years, deep neural networks (DNNs) have been recruited for …
Attention module improves both performance and interpretability of 4D fMRI decoding neural network
Z Jiang, Y Wang, CW Shi, Y Wu, R Hu, S Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
Decoding brain cognitive states from neuroimaging signals is an important topic in
neuroscience. In recent years, deep neural networks (DNNs) have been recruited for …
neuroscience. In recent years, deep neural networks (DNNs) have been recruited for …
Explainable fMRI‐based brain decoding via spatial temporal‐pyramid graph convolutional network
Brain decoding, aiming to identify the brain states using neural activity, is important for
cognitive neuroscience and neural engineering. However, existing machine learning …
cognitive neuroscience and neural engineering. However, existing machine learning …
Aligning brain functions boosts the decoding of visual semantics in novel subjects
Deep learning is leading to major advances in the realm of brain decoding from functional
Magnetic Resonance Imaging (fMRI). However, the large inter-subject variability in brain …
Magnetic Resonance Imaging (fMRI). However, the large inter-subject variability in brain …
Task sub-type states decoding via group deep bidirectional recurrent neural network
Decoding brain states under different cognitive tasks from functional magnetic resonance
imaging (fMRI) data has attracted great attention in the neuroimaging filed. However, the …
imaging (fMRI) data has attracted great attention in the neuroimaging filed. However, the …
Structured neural decoding with multitask transfer learning of deep neural network representations
The reconstruction of visual information from human brain activity is a very important
research topic in brain decoding. Existing methods ignore the structural information …
research topic in brain decoding. Existing methods ignore the structural information …
Decoding task sub-type states with group deep bidirectional recurrent neural network
Decoding brain states under different task conditions from functional magnetic resonance
imaging (tfMRI) data has attracted more and more attentions in neuroimaging studies …
imaging (tfMRI) data has attracted more and more attentions in neuroimaging studies …
[HTML][HTML] Functional annotation of human cognitive states using deep graph convolution
A key goal in neuroscience is to understand brain mechanisms of cognitive functions. An
emerging approach is “brain decoding”, which consists of inferring a set of experimental …
emerging approach is “brain decoding”, which consists of inferring a set of experimental …
[HTML][HTML] Brain decoding of the Human Connectome Project tasks in a dense individual fMRI dataset
Brain decoding aims to infer cognitive states from patterns of brain activity. Substantial inter-
individual variations in functional brain organization challenge accurate decoding performed …
individual variations in functional brain organization challenge accurate decoding performed …
Brain decoding from functional MRI using long short-term memory recurrent neural networks
Decoding brain functional states underlying different cognitive processes using multivariate
pattern recognition techniques has attracted increasing interests in brain imaging studies …
pattern recognition techniques has attracted increasing interests in brain imaging studies …