4 papers
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…
Imagined Speech State Classification for Robust Brain-Computer Interface
Byung-Kwan Ko, Jun-Young Kim, Seo-Hyun Lee
This study examines the effectiveness of traditional machine learning classifiers versus deep learning models for detecting the imagined speech using electroencephalogram data. Spe…
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration
Jun-Young Kim, Deok-Seon Kim, Seo-Hyun Lee
In recent years, brain-computer interfaces have made advances in decoding various motor-related tasks, including gesture recognition and movement classification, utilizing electroe…
Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks
Seo-Hyun Lee, Young-Eun Lee, Soowon Kim +3
Brain-to-speech technology represents a fusion of interdisciplinary applications encompassing fields of artificial intelligence, brain-computer interfaces, and speech synthesis. Ne…