Fu Lab of Human Neuroscience

We investigate the computational and neural bases of cognitive control in learning, memory and decision-making. A long-term goal is to understand how cognitive control arises from neural processing at the cognitive, system and neural circuit level to produce flexible and generalizable goal-directed behaviors. Our experimental approaches include intracranial microelectrode recordings, electrocorticography, electroencephalography and eye tracking. We develop various computational models to describe human behaviors in cognitive tasks and neural activity, and characterize the brain-behavior relationship.

Human single neurons

Intracranial microelectrode recordings reveal how individual neurons relate to cognitive control.

Brain networks

Electrocorticography and EEG help us study neural activity across levels of the brain.

Behavior and attention

Cognitive tasks and eye tracking connect neural activity with learning, memory, and decision-making.

Computational models

Mathematical models and artificial neural networks help us describe behavior and neural activity.

Selected publications