Whole-night fMRI-based sleep classification uncovers distinct substates within N2 and REM sleep stages, along with a transition structure between them.

A computational model of the thalamocortical network explains sleep stages by the coordinated variations in the level of neuromodulators and predicts differences of sleep pattern in human, cat and mouse recordings.

Early in development, before neurons in primary motor cortex are involved in motor control, they undergo a rapid transition in how they process sensory information following sleep and wake movements.

Cortical astrocytes play key roles in NREM sleep by regulating sleep depth and duration through separate GPCR pathways, and differentially control neuronal slow-wave activity in local and remote cortical circuits.

Slow and fast switcher slow waves in human sleep show distinct EEG connectivity patterns and homeostatic regulation as well as changes during aging.

Sub-second pontine waves functionally interact with hippocampal population activity in a state-dependent manner across sleep states, while brainstem ensemble dynamics exhibit slow, long-lasting state-predictive activity.

Two major subtypes of cortical interneurons, the PV and the SST positive cells, causally contribute to the regulation of large-scale state transitions in the cortex.

A novel analytical framework for investigation of simultaneously occurring brain oscillations (from either single or multiple brain areas) and how it modulates the underlying neuronal population during sleep and wakefulness (or other behavioral tasks).

Temporally delayed linear modelling provides a domain-general linear framework for sequence detection and statistical testing, and is able to detect replays in both human neuroimaging and animal electrophysiology.

Intracranial recordings of human brain activity during awakening from general anesthesia exhibit a brief brain state not seen during loss of consciousness, in which stimuli elicit large electrophysiological responses that resemble those seen in sleep.