Gyeong‐Tak Go

Papers

Total Citations

705

H-Index

About

Gyeong-Tak Go is a leading researcher in the emerging field of flexible neuromorphic electronics, where he pioneers the development of artificial systems that emulate the brain’s neural architecture. His work bridges materials science, device engineering, and bio-inspired computing, with a focus on creating soft, wearable technologies for next-generation applications. Go’s most influential contribution is his 2019 paper on flexible neuromorphic electronics for computing, soft robotics, and neuroprosthetics, which has garnered 518 citations—a testament to its foundational impact. In this work, he demonstrated how organic synaptic transistors can replicate key neural behaviors, enabling adaptive, energy-efficient hardware. Expanding on this, his 2019 study on modulating synaptic decay in single organic transistors (187 citations) showed how tuning synaptic dynamics can serve dual purposes: powering artificial neural networks and advancing neuroprosthetic interfaces. By achieving simple synaptic functions in individual devices, Go has laid the groundwork for scalable, flexible circuits that could revolutionize wearable AI, robotic sensing, and neural repair. His research stands out for its versatility, offering a unified platform for both computational and biomedical applications, and positions him as a key innovator in the race toward truly bio-integrated electronics.