[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 …
[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 …
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 …
Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
H Aggarwal, L Al-Shikhley, B Thirion - arXiv preprint arXiv:2407.12056, 2024 - arxiv.org
Decoding cognitive states from functional magnetic resonance imaging is central to
understanding the functional organization of the brain. Within-subject decoding avoids …
understanding the functional organization of the brain. Within-subject decoding avoids …
An Adaptively Weighted Averaging Method for Regional Time Series Extraction of fMRI-based Brain Decoding
Brain decoding that classifies cognitive states using the functional fluctuations of the brain
can provide insightful information for understanding the brain mechanisms of cognitive …
can provide insightful information for understanding the brain mechanisms of cognitive …
Transfer learning-based behavioural task decoding from brain activity
Brain decoding bears a high potential for future applications in medical sciences and
healthcare industries. It can predict individual brain differences and diagnose from …
healthcare industries. It can predict individual brain differences and diagnose from …
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 …
Evaluating deep transfer learning for whole-brain cognitive decoding
Research in many fields has shown that transfer learning (TL) is well-suited to improve the
performance of deep learning (DL) models in datasets with small numbers of samples. This …
performance of deep learning (DL) models in datasets with small numbers of samples. This …
Decoding individual differences in mental information from human brain response predicted by convolutional neural networks
K Kawahata, J Wang, A Blanc, N Maeda, S Nishimoto… - bioRxiv, 2022 - biorxiv.org
Recent advantages of brain decoding with functional magnetic resonance imaging (fMRI)
have enabled us to estimate individual differences in mental information from brain …
have enabled us to estimate individual differences in mental information from brain …
Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent …
Decoding brain functional states underlying cognitive processes from functional MRI (fMRI)
data using multivariate pattern analysis (MVPA) techniques has achieved promising …
data using multivariate pattern analysis (MVPA) techniques has achieved promising …