Statistically evaluating mixed-effects models for EEG analysis using large-scale simulations
for Luis Lips
Luis Lips’ thesis evaluates two statistical approaches for analyzing EEG data. A foundational achievement was developing a brain activity simulation software package, while the thesis art piece visualizes the quantitative difference between these methods through a heatmap-based graphic.
The Creation Process
Benedikt transformed a key empirical result from Luis’ thesis into a visually engaging and printable graph. Extracting the contours of a heatmap required intricate coding and precision, but the resulting image serves as a direct representation of the research’s quantitative findings.
Artistic Concept
The art piece is a vivid depiction of statistical differences, capturing the essence of the analysis in a clean and impactful way. The heatmap contours convey a visual narrative of how the two statistical approaches differ, creating a platform for exploring the nuances of EEG data analysis.
“The figure from his thesis immediately stood out to me, and transforming it into a printable graph was a rewarding challenge.”
Benedikt Ehinger
Personal Reflection
This visualization highlights the intersection of science and design, turning complex data into an accessible graphic. The process was particularly “rewarding” according to Benedikt. “It brought the quantitative heart of Luis’ thesis to life in a visually compelling manner”, he says.
Luis recently started his PhD with Anil Seth in the UK, and the toolbox developed during his thesis has already been published — “an impressive milestone”, according to Benedikt.
