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About

Gang Pan is a researcher whose work spans the fascinating intersection of brain-computer interfaces, animal robotics, and neuromorphic computing. He is perhaps best known for his pioneering contributions to "rat cyborg" technology, where living rats are integrated with machine systems through brain-computer interfaces to create controllable biological robots. His 2015 paper on visual cue-guided rat cybernetics (41 citations) stands as his most influential work, demonstrating how electrical brain stimulation can guide animal navigation with remarkable precision. Building on this foundation, Pan has explored increasingly sophisticated human-animal interaction paradigms, including a landmark brain-to-brain system enabling human minds to directly control rat robots and even speech-based rat interaction — achievements that push the boundaries of pervasive computing. Beyond biological robotics, Pan has made meaningful contributions to neuromorphic intelligence and robot navigation, developing spiking neural network frameworks for reinforcement learning and hierarchical control systems that bring brain-inspired computation to autonomous robotics. His work on decoding neural velocity signals further bridges biological and artificial intelligence. Collectively, his research portfolio reflects a coherent vision: dissolving boundaries between biological and machine intelligence, with implications for neuroprosthetics, autonomous systems, and human-machine collaboration.