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State anxiety alters the dynamics of beta oscillations during reward-dependent motor learning, thereby impairing proper updating of motor predictions when learning in unstable environments.

The novel neural marker for the integration of top-down predictions and bottom-up signals in perception elucidates uncertainty in perceptual inference and provides evidence for the predictive coding account of perception.

A microfluidic experimental approach combined with dynamical systems theory reveals how to entrain an embryonic oscillator, the segmentation clock, and allows for the quantification of its entrainment properties.

Direct electrophysiological evidence demonstrates a role for the anterior thalamic nucleus in human memory formation.

Electrocorticography (ECoG) reveals that phase-amplitude coupling relates to phase-dependent coding in the human brain.

Gamma-band synchronization behavior in area V1 was predicted by weakly coupled oscillator principles.

Neural network modeling shows that hierarchical application of the simple computational principle of predicting future sensory input from its past can capture features of visual motion processing from the retina to the visual cortex.

Spontaneous fluctuations in pupil-indexed arousal shape human cortical dynamics in a frequency-dependent and spatially diverse manner.

Neural representations of stimulus-specific information increase in fidelity as the power of alpha/beta activity decreases, suggesting that alpha/beta power decreases reflect a domain-general mechanism that supports information representation.

The hippocampal CA1 20–40 Hz rhythm is associated with nonspatial sequence memory processing and may contribute to the role of the hippocampus in processing temporal relationships among events.