Position Title
Postdoctoral Researcher
A main research focus is to assess and improve EEG ERP data quality, and so increase neuroscience experimental power.
Andrew is a postdoc researcher working with Prof Steve Luck at the Center of Mind and Brain at UC Davis.
He is lead programmer and developer of the ERPLAB Toolbox for loading, processing, and analyzing EEG ERP brain data, used by thousands of researchers.
Kappenman, E. S., Farrens, J. L., Zhang, W., Stewart, A.X. , & Luck, S. J. (2020). ERP CORE: An Open Resource for Human Event-Related Potential Research. NeuroImage. https://www.sciencedirect.com/science/article/pii/S1053811920309502
Luck, S. J., Stewart, A.X. , Simmons, A. M., & Rhemtulla, M. (2021). Standardized Measurement Error: A Universal Measure of Data Quality for Averaged Event-Related Potentials. Psychophysiology https://doi.org/10.31234/osf.io/dwm64
Stewart, A.X. , Nuthmann, A., & Sanguinetti, G. (2014). Single-trial classification of EEG in a visual object task using ICA and machine learning. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2014.02.014
Stewart, A.X. , Rousselet, G., & Pernet, C. (2014). The LIMO EEG toolbox : extending the statistical analysis of EEG data to the spectral domain. 20th Annual Meeting of the Organization for Human Brain Mapping (OHBM)
Bradford, M., Law, M. H., Stewart, A.X. , Shaw, D. J., Megson, I. L., & Wei, J. (2009). The TGM2 gene is associated with schizophrenia in a British population. American Journal of Medical Genetics https://doi.org/10.1002/ajmg.b.30813
- BCI Society, OHBM