Salient or behaviorally relevant stimuli, regardless of their modality, robustly activate both higher-order somatosensory and visual thalamic nuclei.

Attention reduces noise correlations through enhancing inhibitory feedback in cortical networks.

Attentional modulation is affected by target-distractor similarity, indicating tuning sharpening as the underlying mechanism for response enhancement during object-based attention.

Implementing neural changes associated with attention in a deep neural network causes performance changes that mimic those observed in humans and macaques.

Prior expectations, induced by statistical learning, affect sensory processing only for attended stimuli, thereby constraining neurocomputational theories that cast perception as an inferential process integrating prior knowledge and sensory evidence.

Attention-grabbing tasks produce rapid opioid-mediated analgesia via the descending pain modulation network to alter spinal neuronal activity.

A spatially-tuned normalization model accounts for neuronal responses to attended or unattended stimuli that are presented inside the classical receptive field or the surround, and explains various other observations.

Lateral asymmetry of the globus pallidus, caudate nucleus, and thalamus can predict attention-related modulations of posterior alpha oscillations when combining structural MRI with MEG.

The brain processes the same multisensory stimulus differently when the way it sounds, as opposed to the way it looks, is useful for making a decision.