Neural Computation Visualization
RECRUITING PHD STUDENTS & POSTDOCS

Decoding the
Neural Code

We combine computational modeling, multimodal brain imaging, and focused ultrasound to understand and modulate brain function at the University of Connecticut.

Our Mission

"To bridge the gap between computational neuroscience and clinical intervention by developing closed-loop AI systems that can decode neural states in real-time and precisely modulate brain circuits for therapeutic applications."

Research Directions

Bridging engineering and neuroscience

AI for Brain Imaging

AI for Brain Imaging & BCI

Developing advanced deep learning architectures to decode brain states from fMRI and EEG data, enabling high-precision Brain-Computer Interfaces.

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Neuromodulation

Focused Ultrasound Neuromodulation

Non-invasive modulation of specific brain circuits using focused ultrasound, coupled with AI-driven closed-loop control systems.

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Neural Computation

Neural Computation

Computational modeling of neural dynamics to understand the fundamental principles of information processing in the human brain.

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Join the Lab

We are always looking for motivated PhD students and Postdocs with backgrounds in biomedical engineering, neuroscience, computer science, or related fields.