Decoding Imagined Musical Pitch From Human Scalp Electroencephalograms

By Miyoung Chung, Taehyung Kim, Eunju Jeong, C. Chung, J. Kim, Oh-Sang Kwon, Sung-Phil Kim. 2023

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

EEG Blink Artifacts Can Identify Read Music in Listening and Imagery (2025, unknown): “Recent studies have investigated decoding music from non-invasive brain recordings using EEG [1]–[4], joint EEG-fMRI [5], or EEG-fNIRS [6].”
Progress in Non-Invasive Cognitive Brain-Computer Interface and Implications for Mind-Uploading (2024, methodology): “…analysis (PCA), and t-SNE can be used to analyze the statistical properties of neural signals, providing relevant features for decoding [20], [27], [28], [32], [34], [39], [43], [51], [52], [56], [58], as well as machine learning and deep learning methods such as linear discriminant analysis…”