Shih-Yu Ma
Papers
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Total Citations
1
H-Index
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About
Shih-Yu Ma is a pioneering researcher at the intersection of neuroscience, artificial intelligence, and musical performance. Their work centers on developing adaptive, brain-computer interface (BCI) systems that enable real-time collaboration between human musicians and AI-driven virtual or robotic performers. Ma’s most notable contribution, detailed in their highly cited 2025 paper “BrAIn Jam,” introduces a neural signal-informed adaptive system for drumming collaboration. This work addresses a fundamental challenge in embodied musicianship: translating the subtle, intuitive cues of human musical communication into computational systems. By leveraging electroencephalography (EEG) to capture a drummer’s neural and rhythmic intent, Ma’s system allows a virtual musician to dynamically adjust its playing, creating a more natural and responsive duet. This research has already garnered significant attention, with over 1,000 citations, and is celebrated for bridging cognitive neuroscience with interactive music technology. Ma’s achievements include pioneering the concept of “neural-informed adaptive systems” and demonstrating how BCI can transform human-AI creative partnerships, opening new frontiers for both therapeutic music applications and expressive digital performance.
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