Rico Fischer

This study evaluates the test-retest reliability of kinematic measures in a mouse-tracking go/no-go task, finding moderate-to-good reliability for inhibitory control metrics.

This paper develops a computational framework to standardize tDCS stimulation doses across brain regions while preserving individual variability, validated in an independent sample.

The paper develops a deep learning model to automate electrode detection in tDCS-fMRI studies, outperforming manual and semi-automated methods in precision and reducing human bias.