Declined coding of sensory information in the brain reflects human vigilance decrements and allows prediction of behavioural errors.

Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.

Visual information can be maintained in non-conscious working memory for several seconds via short-term changes in synaptic weights.

Replay of recently experienced trajectories during a decision task is coupled with more effective adaptation to change, whereas replay during rest is associated with limited decision making flexibility.

Multimodal neuroimaging was used to study the effect of threat on spontaneous brain activity and functional connectivity, and demonstrated that threat increases both activity and connectivity of the intraparietal sulcus, a key node in the frontoparietal attention network.

Brain responses in humans demonstrate that the analysis of crowded acoustic scenes is based on a mechanism that infers the predictability of sensory information and up-regulates processing for reliable signals.

The fast spreading of neural activity across the brain has a complex structure, imposed by the white-matter bundles.

Dopaminergic medication has differential effects on the discovered electrophysiological networks, which could be used to develop new electrical and pharmacological interventions in Parkinson’s disease.

Adaptation along multiple task-axes reveals choice traces at millisecond resolution in non-invasive recordings from human premotor cortex and provides evidence that theories of top-down control hold even after extensive experience.

Blind people re-purpose the brain's visual areas for tracking speech rhythm.