Transferring and generalizing deep-learning-based neural encoding models across subjects
Sign Up to like & getrecommendations! Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2018.04.053
Abstract: ABSTRACT Recent studies have shown the value of using deep learning models for mapping and characterizing how the brain represents and organizes information for natural vision. However, modeling the relationship between deep learning models and… read more here.
Keywords: transferring generalizing; encoding models; deep learning; models across ... See more keywords
Registration-free analysis of diffusion MRI tractography data across subjects through the human lifespan
Sign Up to like & getrecommendations! Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.116703
Abstract: Diffusion MRI tractography produces massive sets of streamlines that need to be clustered into anatomically meaningful white-matter bundles. Conventional clustering techniques group streamlines based on their proximity in Euclidean space. We have developed AnatomiCuts, an… read more here.
Keywords: tractography; mri tractography; across subjects; diffusion mri ... See more keywords
Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3265304
Abstract: Deep Convolutional Neural Networks (CNNs) have recently demonstrated impressive results in electroencephalogram (EEG) decoding for several Brain-Computer Interface (BCI) paradigms, including Motor-Imagery (MI). However, neurophysiological processes underpinning EEG signals vary across subjects causing covariate shifts… read more here.
Keywords: eeg; motor imagery; across subjects; generalization ... See more keywords
Across-subjects classification of stimulus modality from human MEG high frequency activity
Sign Up to like & getrecommendations! Published in 2018 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1005938
Abstract: Single-trial analyses have the potential to uncover meaningful brain dynamics that are obscured when averaging across trials. However, low signal-to-noise ratio (SNR) can impede the use of single-trial analyses and decoding methods. In this study,… read more here.
Keywords: frequency activity; classification; high frequency; frequency ... See more keywords
Are the forearm muscles excited equally in different, professional piano players?
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0265575
Abstract: Background and objectives Professional pianists tend to develop playing-related musculoskeletal disorders mostly in the forearm. These injuries are often due to overuse, suggesting the existence of a common forearm region where muscles are often excited… read more here.
Keywords: forearm region; piano players; region; professional pianists ... See more keywords
EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2017.00180
Abstract: Quantification of dynamic causal interactions among brain regions constitutes an important component of conducting research and developing applications in experimental and translational neuroscience. Furthermore, cortical networks with dynamic causal connectivity in brain-computer interface (BCI) applications… read more here.
Keywords: dynamic causal; causal connectivity; across subjects; quantification ... See more keywords