Multimodal Neural Interfacing
Multimodal neural interfaces offer unique opportunities to access complementary neural information across multiple spatial and temporal scales. We develop neural interfacing technologies that combine electrical and optical modalities to record neural activity ranging from individual neurons to neuronal networks. We also design neural interfaces that enable modulation of neural activity through electrical, optical, and photothermal stimulation.
AI-Driven Neural Data Processing and Analysis
Recent advances in multimodal and generative AI provide powerful capabilities for handling diverse types of neural data in a unified manner. We develop AI-driven computational frameworks for multimodal neural data processing and analysis. By leveraging advanced AI models, we aim to integrate, reconstruct, and translate neural information across different modalities and spatiotemporal scales.Â
Biomarker Discovery and Precision Neuromodulation
Understanding the neural mechanisms underlying brain dysfunction is essential for developing effective therapeutic strategies. We aim to advance the diagnosis and treatment of neurological disorders by combining multimodal neural interfacing and AI-driven computational approaches. By identifying biomarkers associated with neural dysfunction and recovery, we seek to develop targeted neuromodulation strategies for therapeutic interventions.