The study focuses on generating images from EEG signals using a deep learning framework. The objective is to recreate images that subjects view using EEG recordings. This is achieved using…
Continue readingThe study delves into emotion recognition (ER) using electroencephalography (EEG) within virtual reality (VR) environments. It involves data acquisition, pre-processing, feature extraction, and emotion classification. A 3D VR dataset was…
Continue readingThe article presents a framework for authenticating users of Brain-Computer Interfaces (BCIs) using P300 potential, a type of brainwave elicited by known images. The authors validate their framework through an…
Continue readingThe research investigates the use of deep Self-Supervised (SS) representations for Auditory Attention Decoding (AAD) using EEG data. AAD algorithms are significant for isolating desired sound sources within challenging acoustic…
Continue readingThe paper discusses the potential of Deep Learning in extracting relevant information from raw EEG data. It highlights the challenge of processing EEG data from different experiments due to varying…
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