Neural Interfaces and Signal Processing (NISP) Lab

Welcome to Dr. Jihye Bae's Neural Interfaces and Signal Processing Lab!

Research in Neural Interfaces and Signal Processing Lab focuses on the areas of signal processing, machine learning, and their applications in medicine. NISP Lab's research includes analysis and characterization of biomedical signals, including brain signals, from microscopic to mesoscopic-scale, and medical images, the development of algorithms for neural decoders and emulators, associated with movement intention and semantic reconstructions, and source imaging techniques to localize seizure-onset zones in refractory epilepsy. NISP's Lab works on interactive reinforcement learning, value function approximation in Markov decision making process for reinforcement learning, and the investigation of supervised and unsupervised learning algorithms to interpret biomedical signals and medical images.

Research Key Words:

• Signal Processing
• Machine Learning
• Neural Signal Processing
• Reinforcement Learning
• Interactive Reinforcement Learning
• Brain Machine Interfaces
• Neural Decoding
• Electric Source Imaging