Information obtained from specific studies with my scientific collaborators can be found in Publications (all free to download). Posters and videos of research performed by my students and I can be found in Presentations. Python and MATLAB code for EEG analysis and Bayesian statistical modeling is currently freely available on GitHub
Model-based cognitive neuroscience
To develop mathematical theories and find parameter estimates of neurocognitive models that explain and predict both human behavior and observed human neural data
To understand the time course and cognitive components of decision making as well as the control over inhibition of decisions
Cognitive modeling using Bayesian statistics
To develop modeling tools that allow accurate measurements of individual differences in cognition using Bayesian statistics.
EEG and electrophysiology
To promote and better understand best practices for scalp-EEG and intracranial electrophysiology data analysis