The response from discrete stages of the early auditory pathway can be measured by subtle manipulations to long-form natural speech stimuli paired with deconvolution analysis of electroencephalography data.

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.

Convolutional neural networks can decode whether a person is listening to a speaker on the left or right solely from 1 to 2s of EEG data.

Neural oscillations prior to a stimulus modulate the strength of early and late responses in opposite directions via distinct mechanisms.

Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.

Dynamic changes in activity and connectivity of the human subthalamic nucleus reflect whether a decision will be made in haste or with caution.

When all features of conflicting sensory input are task-irrelevant, the brain can still process its sensory information, whereas conflict detection requires that minimally one stimulus feature is task-relevant or associated with a response.

Cognitive reconstitution after pharmacologic unconsciousness is an extended process, executive function is more robust than expected, and the healthy human brain is resilient to the effects of deep general anesthesia.

Precise motor control is supported by connectivity within a cortical grasping network from childhood to adulthood, but older individuals display more top-down control and superior motor performance compared to children.

Everyday soundscapes dynamically engage attention towards target sounds or salient ambient events, with both attentional forms engaging the same fronto-parietal network but in a push-pull competition for limited neural resources.