Computational Neuroscience

Computational Neuroscience

Remote cognitive experiments and neuro-inspired modeling that connect web-based tasks, wearable EEG, and clinician workflows.

• Digital biomarkers for cognitive load, fatigue, and attention monitoring

Research Area Overview

We translate neuroscience principles into computational models that inform AI, digital therapeutics, and tele-neurology. By collaborating with clinicians and educators, we ensure that each model can be used in remote assignments, online labs, and longitudinal studies.

Focus Topics

• Encoding of attention, memory, and decision-making in neural populations
• Remote experimentation platforms for neuroscience education
• Cognitive state tracking through multimodal biosignals
• Joint modeling of neural and physiological signals for disease monitoring