The Berlin brain-computer interface: progress beyond communication and control

B Blankertz, L Acqualagna, S Dähne, S Haufe… - Frontiers in …, 2016 - frontiersin.org
The combined effect of fundamental results about neurocognitive processes and
advancements in decoding mental states from ongoing brain signals has brought forth a …

Multi-variate EEG analysis as a novel tool to examine brain responses to naturalistic music stimuli

I Sturm, S Dähne, B Blankertz, G Curio - PloS one, 2015 - journals.plos.org
Note onsets in music are acoustic landmarks providing auditory cues that underlie the
perception of more complex phenomena such as beat, rhythm, and meter. For naturalistic …

ECoG high gamma activity reveals distinct cortical representations of lyrics passages, harmonic and timbre-related changes in a rock song

I Sturm, B Blankertz, C Potes, G Schalk… - Frontiers in human …, 2014 - frontiersin.org
Listening to music moves our minds and moods, stirring interest in its neural underpinnings.
A multitude of compositional features drives the appeal of natural music. How such original …

On the encoding of natural music in computational models and human brains

SG Kim - Frontiers in Neuroscience, 2022 - frontiersin.org
This article discusses recent developments and advances in the neuroscience of music to
understand the nature of musical emotion. In particular, it highlights how system …

EEG-based decoding of auditory attention to a target instrument in polyphonic music

G Cantisani, S Essid, G Richard - 2019 IEEE Workshop on …, 2019 - ieeexplore.ieee.org
Auditory attention decoding aims at determining which sound source a subject is" focusing
on". In this work, we address the problem of EEG-based decoding of auditory attention to a …

[HTML][HTML] Group analysis of ongoing EEG data based on fast double-coupled nonnegative tensor decomposition

X Wang, W Liu, P Toiviainen, T Ristaniemi… - Journal of neuroscience …, 2020 - Elsevier
Background Ongoing EEG data are recorded as mixtures of stimulus-elicited EEG,
spontaneous EEG and noises, which require advanced signal processing techniques for …

Altered eeg oscillatory brain networks during music-listening in major depression

Y Zhu, X Wang, K Mathiak, P Toiviainen… - … Journal of Neural …, 2021 - World Scientific
To examine the electrophysiological underpinnings of the functional networks involved in
music listening, previous approaches based on spatial independent component analysis …

[图书][B] Advanced signal processing on brain event-related potentials: filtering ERPs in time, frequency and space domains sequentially and simultaneously

F Cong, T Ristaniemi, H Lyytinen - 2015 - books.google.com
This book is devoted to the application of advanced signal processing on event-related
potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive …

Multichannel blind source separation based on non-negative tensor factorization in wavenumber domain

Y Mitsufuji, S Koyama… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Multichannel non-negative matrix factorization based on a spatial covariance model is one
of the most promising techniques for blind source separation. However, this approach is not …

Multi-domain features of the non-phase-locked component of interest extracted from ERP data by tensor decomposition

G Zhang, C Zhang, S Cao, X Xia, X Tan, L Si, C Wang… - Brain topography, 2020 - Springer
The waveform in the time domain, spectrum in the frequency domain, and topography in the
space domain of component (s) of interest are the fundamental indices in neuroscience …