Tommy Clausner

This study uses interleaved EEG-fMRI to show that gamma-band activity correlates with feature-specific visual signals in both superficial and deep cortical layers, and lower frequencies are linked to feature-unspecific BOLD signals.

This study uses MEG and machine learning to decode spatial attention in humans during different tasks, showing dynamic, task-dependent attentional patterns similar to those in non-human primates.

The paper introduces a non-parametric statistical test to compare group averages in paired data, avoiding multiple comparisons by using rank order and auto-regressive methods.