4 papers
SophiaPop: Experiments in Human-AI Collaboration on Popular Music
David Hanson, Frankie Storm, Wenwei Huang +7
A diverse team of engineers, artists, and algorithms, collaborated to create songs for SophiaPop, via various neural networks, robotics technologies, and artistic tools, and animat…
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding
Xian-Rui Zhang, Meng-Ying Lei, Yang Li
Brain-Computer Interface (BCI) system provides a pathway between humans and the outside world by analyzing brain signals which contain potential neural information. Electroencephal…
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis
Yang Li, Mengying Lei, Xianrui Zhang +4
Decoding EEG signals of different mental states is a challenging task for brain-computer interfaces (BCIs) due to nonstationarity of perceptual decision processes. This paper prese…
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs
Yang Li, Mengying Lei, Weigang Cui +2
Objective: This study proposes a new parametric TF (time frequency) CGC (conditional Granger causality) method for high precision connectivity analysis over time and frequency in m…