The Berlin brain-computer interface: progress beyond communication and control
The combined effect of fundamental results about neurocognitive processes and
advancements in decoding mental states from ongoing brain signals has brought forth a …
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 …
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
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 …
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 …
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
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 …
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
Background Ongoing EEG data are recorded as mixtures of stimulus-elicited EEG,
spontaneous EEG and noises, which require advanced signal processing techniques for …
spontaneous EEG and noises, which require advanced signal processing techniques for …
Altered eeg oscillatory brain networks during music-listening in major depression
To examine the electrophysiological underpinnings of the functional networks involved in
music listening, previous approaches based on spatial independent component analysis …
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
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 …
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 …
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
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 …
space domain of component (s) of interest are the fundamental indices in neuroscience …