Image classification and reconstruction from low-density EEG

• Published in: Scientific reports Vol. 14; no. 1; pp. 16436 - 14
• Main Authors: Guenther, Sven, Kosmyna, Nataliya, Maes, Pattie
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 16.07.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/116/2394; 639/705/117; Adult; Algorithms; Brain - diagnostic imaging; Brain - physiology; Brain mapping; Brain Mapping - methods; Classification; Diffusion models; EEG; Electroencephalography - methods; Female; Functional magnetic resonance imaging; Humanities and Social Sciences; Humans; Image processing; Image Processing, Computer-Assisted - methods; Information processing; Magnetic Resonance Imaging - methods; Male; multidisciplinary; Neuroimaging; Photic Stimulation; Science; Science (multidisciplinary); Visual stimuli; Young Adult

Recent advances in visual decoding have enabled the classification and reconstruction of perceived images from the brain. However, previous approaches have predominantly relied on stationary, costly equipment like fMRI or high-density EEG, limiting the real-world availability and applicability of su...