Four directions connecting time, space, sequence, and neural dynamics.
Time perception · Spatial navigation · Bayesian inference
How does the brain use recent experience to infer what is happening now?
This program connects serial dependence in time perception, spatial processing, and navigation through precision-weighted inference.
Active exploration · EEG · Eye tracking
How do attention, action, and task context reshape experienced time and space?
Behavioral, EEG, and eye-tracking studies examine spatiotemporal processing during active exploration and changing task contexts.
Real-time EEG interaction · Offline modeling
How can sequential neural signals support adaptive brain-computer interaction?
This work connects real-time EEG-based interaction with offline computational modeling to develop adaptive brain-computer interfaces.
fMRI · State-space models · Representation learning
Which hidden states organize the dynamics observed in fMRI data?
Latent-variable and generative models are used to characterize evolving neural representations and their relationship to behavior.