mortonne / kabuki

Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.

I am a Professor at the University of Wisconsin-Milwaukee and Director of the Human and Machine Learning (HaML) Lab. I use computational modeling and analysis of neuroimaging data to understand human memory.

I've developed a number of software packages for research:

• WikiVector: Tools for quantifying conceptual knowledge based on Wikipedia entries.
• Psifr: Analysis and visualization of free recall data.
• PsifrR: R package for analysis and visualization of free recall data.
• CyMR: Computational modeling of free recall data.
• PsiReact: Hierarchical Bayesian modeling of response time data.
• Mindstorm: Advanced neuroimaging analysis.
• Wiki2Vec: Modeling semantic similarity of well-known stimuli.
• fPrep: Scripts for preprocessing of fMRI data using FSL, FreeSurfer, and ANTS.
• Aperture: Matlab toolbox for univariate and multivariate analysis of EEG data.