most citedPredicting the Transition from Short-term to Long-term Memory based on Deep Neural Network

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2023

Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats

Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin +2

The monaural beat is known that it can modulate brain and personal states. However, which changes in brain waves are related to changes in state is still unclear. Therefore, we aim…

cs.LG2020

Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG

Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak +1

A micro-sleep is a short sleep that lasts from 1 to 30 secs. Its detection during driving is crucial to prevent accidents that could claim a lot of people's lives. Electroencephalo…

cs.NE20201 cited

Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network

Gi-Hwan Shin, Young-Seok Kweon, Minji Lee

Memory is an essential element in people's daily life based on experience. So far, many studies have analyzed electroencephalogram (EEG) signals at encoding to predict later rememb…

eess.SP2020

Assessment of Unconsciousness for Memory Consolidation Using EEG Signals

Gi-Hwan Shin, Minji Lee, Seong-Whan Lee

The assessment of consciousness and unconsciousness is a challenging issue in modern neuroscience. Consciousness is closely related to memory consolidation in that memory is a crit…

cs.HC2020

Prediction of Event Related Potential Speller Performance Using Resting-State EEG

Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim +1

Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject perfor…