CEBA Lab Research

We leverage computational neuroscience to quantify latent cognitive states that are expressed through gaze and action.
Our work focuses on VR navigation in humans and non-human primates, sequential decision-making, changes of mind, and stimulus–action coupling, combining interpretable models with real behavioral and eye movement data.

Focus

• Computational models: Bayesian, state-space, and biologically constrained models with emphasis on interpretability
• Primate cognitive behavior: Sequential target presentation, cost–effort trade-offs, and change-of-mind dynamics
• Eye movement: Using gaze signals to predict and validate internal decision states
• Neural data analysis: Multi-modal alignment of spikes, calcium imaging, and behavior for causal inference

Collaborations

We actively collaborate with many leading groups worldwide, including:

• KAIST – Se-Bum Paik, Department of Brain and Cognitive Sciences
• SKKU – Won-Mok Shim, IBS Center for Neuroscience Imaging Research
• KIST – Jason Jang, Brain Science Institute
• Duke-NUS Medical School (NUS) – Hyunsoo Shawn Je
• New York University (NYU) – Dora Angelaki, Center for Neural Science
• New York University (NYU) – Anthony Movshon, Center for Neural Science

More details will be updated soon (see Publications).