Our laboratory investigates the cognitive and neural mechanisms of learning and memory and their dynamic modulation across both wakefulness and sleep. By combining multi-modal neuroimaging, advanced brain stimulation, and computational modeling, we examine how memory is processed, transformed, and modulated. We also focus on developing real-time brain-state decoding and brain-computer interface (BCI) methods to enable personalized, closed-loop interventions. Ultimately, our research bridges fundamental cognitive neuroscience with translational applications to enhance human cognitive functioning.
We combine iEEG, EEG/MEG, fMRI, and deep neural network models to investigate how episodic memories are encoded, maintained, and retrieved, and how their neural representations change across wakefulness and sleep.
We investigate individual differences in emotion and memory across three populations—people with insomnia, older adults, and adolescents with depression—and explore approaches to modulating emotional and memory processes in these groups.
We combine brain stimulation techniques (iES, TI, TUS, and tACS) with brain–computer interfaces (BCIs) to investigate memory modulation and develop personalized closed-loop approaches for sleep and memory.
Ramping-up hippocampal ripples and their neocortical coupling support human visual short-term memory.
How the Hippocampus Supports Visual Short-Term Memory: From iEEG Oscillations to Causal Stimulation
Discover ways to get involved with our research, whether it's participating in a study or applying to join our lab.
