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Wei Wu
Researcher at Stanford University
Publications - 79
Citations - 3343
Wei Wu is an academic researcher from Stanford University. The author has contributed to research in topics: Electroencephalography & Bayesian inference. The author has an hindex of 24, co-authored 79 publications receiving 2416 citations. Previous affiliations of Wei Wu include Veterans Health Administration & Tsinghua University.
Papers
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Journal ArticleDOI
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs
TL;DR: A recognition approach is proposed based on the extracted frequency features for an SSVEP-based brain computer interface (BCI) that were higher than those using a widely used fast Fourier transform (FFT)-based spectrum estimation method.
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Deep learning based on Batch Normalization for P300 signal detection
TL;DR: A novel CNN, termed BN3, is developed for detecting P300 signals, where Batch Normalization is introduced in the input and convolutional layers to alleviate over-fitting, and the rectified linear unit (ReLU) is employed in the convolutionAL layers to accelerate training.
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Classifying Single-Trial EEG During Motor Imagery by Iterative Spatio-Spectral Patterns Learning (ISSPL)
TL;DR: Experimental results on two datasets show that the proposed algorithm can correctly identify the discriminative frequency bands, demonstrating the algorithm's superiority over contemporary approaches in classification performance.
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An electroencephalographic signature predicts antidepressant response in major depression
Wei Wu,Yu Zhang,Yu Zhang,Jing Jiang,Jing Jiang,Molly V. Lucas,Molly V. Lucas,Gregory A. Fonzo,Gregory A. Fonzo,Camarin E. Rolle,Camarin E. Rolle,Crystal Cooper,Cherise Chin-Fatt,Noralie Krepel,Carena A. Cornelssen,Carena A. Cornelssen,Rachael Wright,Rachael Wright,Russell T. Toll,Russell T. Toll,Hersh M. Trivedi,Hersh M. Trivedi,Karen Monuszko,Karen Monuszko,Trevor Caudle,Trevor Caudle,Kamron Sarhadi,Kamron Sarhadi,Manish K. Jha,Joseph M. Trombello,Thilo Deckersbach,Phil Adams,Patrick J. McGrath,Myrna M. Weissman,Maurizio Fava,Diego A. Pizzagalli,Martijn Arns,Madhukar H. Trivedi,Amit Etkin,Amit Etkin +39 more
TL;DR: A latent-space machine-learning algorithm tailored for resting-state electroencephalography (EEG) was designed and applied to data from the largest imaging-coupled, placebo-controlled antidepressant study and found that the efficacy of an antidepressant is predicted from an EEG signature.
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Probabilistic Common Spatial Patterns for Multichannel EEG Analysis
TL;DR: In this article, a probabilistic CSP (P-CSP) is proposed as a generic EEG spatio-temporal modeling framework that subsumes the CSP and regularized CSP algorithms.