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A systematic assessment of previously proposed fMRI metrics of motor sequence learning reveals widespread activity reductions and subtle multivariate pattern changes outside of primary motor cortex.

Multivariate analyses of human electrophysiological recordings revealed that the brain represents unexpected visual stimuli with greater fidelity than expected stimuli which arose independently of simple habituation arising from repetition.

The representations of information concerning the number, size, density and surface of sets of objects in a visual image are separable along the occipito-parietal cortex and independently modulated by attention.

Rapid increases in the brain’s level of alertness, or arousal, contribute to variability in decision making by reducing existing biases.

Computational modeling shows how neural mechanisms for mitigating biological constraints (such as neurons’ limited firing range) may eventually result in complex though predictable irrational behavior.

Response inhibition is initiated by the right inferior frontal gyrus (rIFG), and stopping performance is predicted by beta-band power as well as beta-band connectivity between rIFG and pre-supplementary motor area.

The aged human auditory cortex shows preserved tonotopy, but temporal modulations are represented with a markedly broader tuning, highlighting decreased temporal selectivity as a hallmark of the aging auditory cortex.

Memory guides attention by enabling preparation for upcoming states in the hippocampus and medial prefrontal cortex.

The pattern of atrophy in Parkinson's disease is consistent with the disease spreading via intrinsic brain networks.

Data-driven and effective connectivity analyses reveal patterns of functional specialization, common mechanisms, and brain-wide interaction profiles within the human inferior parietal lobes for multiple functional domains.