Erik T. Saberski

Existence of Causation without Correlation in Transcriptional Networks

The paper shows that causal relationships can exist in transcriptional networks without correlation, using nonlinear causality tests to detect uncorrelated causal links in yeast and mouse.

Brain networks in human conscious visual perception

This study identifies neural mechanisms of human conscious visual perception using report-independent methods and shows involvement of large-scale subcortical and cortical networks.

Tracking changes in behavioural dynamics using prediction error

The paper introduces a method to quantify behavioural changes in C. elegans using prediction error from time-delay-embedded attractors, detecting subtle dynamics in movement and escape responses.