Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Sparse group representation model for motor imagery EEG classification
A potential limitation of a motor imagery (MI) based brain-computer interface (BCI) is that it
usually requires a relatively long time to record sufficient electroencephalogram (EEG) data …
usually requires a relatively long time to record sufficient electroencephalogram (EEG) data …
Sparse representation for brain signal processing: a tutorial on methods and applications
Y Li, ZL Yu, N Bi, Y Xu, Z Gu… - IEEE Signal Processing …, 2014 - ieeexplore.ieee.org
In many cases, observed brain signals can be assumed as the linear mixtures of unknown
brain sources/components. It is the task of blind source separation (BSS) to find the sources …
brain sources/components. It is the task of blind source separation (BSS) to find the sources …
Sparse representation of whole-brain fMRI signals for identification of functional networks
There have been several recent studies that used sparse representation for fMRI signal
analysis and activation detection based on the assumption that each voxel's fMRI signal is …
analysis and activation detection based on the assumption that each voxel's fMRI signal is …
Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function
For decades, it has been largely unknown to what extent multiple functional networks
spatially overlap/interact with each other and jointly realize the total cortical function. Here …
spatially overlap/interact with each other and jointly realize the total cortical function. Here …
Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations
A relatively underexplored question in fMRI is whether there are intrinsic differences in terms
of signal composition patterns that can effectively characterize and differentiate task-based …
of signal composition patterns that can effectively characterize and differentiate task-based …