Human brain potentials have been shown to be helpful for Human Computer Interactions (HCI) both
as a direct input channel (Brain-CI), as well as a tool to understand user behavior. But the
analysis of such data can be quite challenging as soon as classical experimental restrictions of
interaction are removed. For many natural human-computer interactions, eye- and hand-movements are
The analyses of such data are challenging because we need statistical control for many
continuous confounders, and we need deconvolution methods due to temporal overlap of brain
potentials between gaze-fixations. To overcome these challenges, we recently introduced an
integrated workflow based on encoding models and time-regression.
The visualizations of such encoding models are complex, mainly because the encoding model
results reside in high-dimensional space (sensors x timepoints x subjects x predictors). This makes
selection or discretization of the space necessary. In addition, the brain activity is
non-stationary over time, complicating averaging over timepoints and subjects show high variability
to each other, complicating averaging on the group level. Further, the experimental predictors are
often not orthogonal but can potentially interact in surprising ways (e.g. suppressor effects,
In this talk I will give an introduction to the topic, intuit the logic of the analyses and
discuss some problems in visualization.
About the Speaker
2018 - PhD in Cognitive Science, Osnabrück, Germany
2018-2020: PostDoc in PredictiveBrainLab with Floris deLange at Donders Institute, Nijmegen,
2020: Tenure-Track Professor Computational Cognitive Science
About the Series
The Lecture Series is organized every winter term and consist of talks with international
speakers. The speakers are experts from various fields and professions. The talks are aimed at
covering the whole spectrum of visual computing and at discussing the relevance of quantification.
This years lecture series will be held entirely online.
This is an online event only.
Registration: If you would like to attend, please email
Leonel Merino to