Craig Poskanzer

The paper investigates how the hippocampus switches between external and internal attention by analyzing functional connectivity patterns during different attention tasks.

PyMVPD is a toolbox for modeling multivariate pattern dependence between brain regions, showing that neural networks outperform linear regression and that model performance varies by brain region.

This paper introduces computational fingerprints to model nonlinear brain region interactions using fMRI data, showing they detect statistical dependence even when linear correlations are absent.

The paper examines EEG microstate dynamics during post-encoding rest and finds increased microstate D and decreased microstate C, associated with memory consolidation and encoding strength.

The paper shows sleep spindles help consolidate weakly encoded memories, reducing forgetting rates compared to staying awake.

This study investigates how time of day affects generalization ability, finding better performance in the morning than the evening, with no benefit from sleep.