WilliamNgiam
Incoming Lecturer at the University of Adelaide. Head of the @PALM-Lab Former postdoc of the @AwhVogelLab.
University of Adelaide
Pinned Repositories
2020-01-17-training
2020-04-16-chicago
awhvogellab.github.io
The website of the Awh Vogel Lab at the University of Chicago
ConfigVWM
Configural influences on visual working memory
EEGLAB-Pipeline
A standardized pipeline for EEG preprocessing and artifact rejection using EEGLAB
IDinVWM
PhD-Thesis
PhD Thesis written in RMarkdown, using Github for version control and backup
rigor_champions
Contact List ShinyApp for NIH Rigor Champions
VWMChunking
This project is examining whether the CDA is sensitive to chunking
VWMStatisticalLearning
Statistical Learning in Visual Working Memory - Experiment Project by WXQN and EA
WilliamNgiam's Repositories
WilliamNgiam/ConfigVWM
Configural influences on visual working memory
WilliamNgiam/IDinVWM
WilliamNgiam/PhD-Thesis
PhD Thesis written in RMarkdown, using Github for version control and backup
WilliamNgiam/rigor_champions
Contact List ShinyApp for NIH Rigor Champions
WilliamNgiam/VWMChunking
This project is examining whether the CDA is sensitive to chunking
WilliamNgiam/VWMStatisticalLearning
Statistical Learning in Visual Working Memory - Experiment Project by WXQN and EA
WilliamNgiam/2020-01-17-training
WilliamNgiam/2020-04-16-chicago
WilliamNgiam/awhvogellab.github.io
The website of the Awh Vogel Lab at the University of Chicago
WilliamNgiam/EEGLAB-Pipeline
A standardized pipeline for EEG preprocessing and artifact rejection using EEGLAB
WilliamNgiam/r-novice-gapminder
Introduction to R for non-programmers using gapminder data.
WilliamNgiam/r-socialsci
Lesson on R for social scientists.
WilliamNgiam/reproducibiliTea
Website for the ReproducibiliTea Journal Club and Podcast
WilliamNgiam/ShinyEd
Shiny Applets for Education
WilliamNgiam/WilliamNgiam.github.io
Personal webpage for William Xiang Quan Ngiam
WilliamNgiam/Z-scores-ShinyApp
This ShinyApp is an interactive exercise for undergraduate students to learn about Z-scores and proportions under the normal curve.