Chen Yao

Auditory tracking magnitude, temporal alignment, and anatomical distribution during wakefulness and propofol-based anesthesia

The paper examines how auditory tracking changes during wakefulness and propofol anesthesia by analyzing response magnitude, temporal alignment, and anatomical distribution using sEEG data.

Large-scale functional coupling and computational modelling reveal frontotemporal hotspots in distributed network connectivity during working memory recognition, encoding, and retrieval

The paper uses intracranial recordings to analyze functional coupling in brain networks during working memory tasks, identifying frontotemporal hubs as key in coordinating neural states.

A human intracranial map of consciousness returning from anesthesia

This study maps the electrophysiological changes in the human brain as consciousness returns from anesthesia, identifying key neural dynamics associated with the transition from unconsciousness to wakefulness.

Preserved Embedding of Neural Population Activity for Brain Computer Interfaces

The paper introduces MANDT, a method that extracts consistent embeddings of motor cortical dynamics to improve BCI decoding across sessions and tasks, validated on rhesus monkey data.

Automatic binding of basic sensory features requires consciousness

The paper investigates the role of consciousness in binding basic sensory features using sEEG recordings in awake and anesthetized states, finding that consciousness is necessary for feature binding but not for encoding individual attributes.

CellPolaris: Decoding Cell Fate through Generalization Transfer Learning of Gene Regulatory Networks

CellPolaris uses transfer learning to generate cell-type-specific gene regulatory networks from transcriptomic data, achieving state-of-the-art results in predicting regulatory factors and simulating cell fate transitions.