6 papers
Personalized targeted memory reactivation enhances consolidation of challenging memories via slow wave and spindle dynamics
Gi-Hwan Shin, Young-Seok Kweon, Seungwon Oh +1
Sleep is crucial for memory consolidation, underpinning effective learning. Targeted memory reactivation (TMR) can strengthen neural representations by re-engaging learning circuit…
A Quantitative Framework for Assessing Sleep Quality from EEG Time Series in Complex Dynamic Systems
Gi-Hwan Shin
Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the immune system. Sleep quality (SQ) is vital for physiological and mental health, m…
Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System
Ji-Ha Park, Heon-Gyu Kwak, Gi-Hwan Shin +4
Brain-computer interface (BCI) research, while promising, has largely been confined to static and fixed environments, limiting real-world applicability. To move towards practical B…
Neurophysiological Characteristics of Adaptive Reasoning for Creative Problem-Solving Strategy
Jun-Young Kim, Young-Seok Kweon, Gi-Hwan Shin +1
Adaptive reasoning enables humans to flexibly adjust inference strategies when environmental rules or contexts change, yet its underlying neural dynamics remain unclear. This study…
Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
Young-Seok Kweon, Gi-Hwan Shin, Ji-Yong Kim +2
Conscious state estimation is important in various medical settings, including sleep staging and anesthesia management, to ensure patient safety and optimize health outcomes. Tradi…
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms
Heon-Gyu Kwak, Gi-Hwan Shin, Yeon-Woo Choi +4
In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services t…