The surface Laplacian technique in EEG: Theory and methods

C Carvalhaes, JA De Barros - International Journal of Psychophysiology, 2015 - Elsevier
This paper reviews the method of surface Laplacian differentiation to study EEG. We focus
on topics that are helpful for a clear understanding of the underlying concepts and its …

Delta, theta, beta, and gamma brain oscillations index levels of auditory sentence processing

G Mai, JW Minett, WSY Wang - Neuroimage, 2016 - Elsevier
A growing number of studies indicate that multiple ranges of brain oscillations, especially the
delta (δ,< 4 Hz), theta (θ, 4–8 Hz), beta (β, 13–30 Hz), and gamma (γ, 30–50 Hz) bands, are …

Left superior temporal gyrus is coupled to attended speech in a cocktail-party auditory scene

M Vander Ghinst, M Bourguignon… - Journal of …, 2016 - jneurosci.org
Using a continuous listening task, we evaluated the coupling between the listener's cortical
activity and the temporal envelopes of different sounds in a multitalker auditory scene using …

Hyperdimensional brain-inspired learning for phoneme recognition with large-scale inferior colliculus neural activities

Y Ni, Y Yang, H Chen, X Wang, N Lesica… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: Develop a novel and highly efficient framework that decodes Inferior Colliculus
(IC) neural activities for phoneme recognition. Methods: We propose using …

Decoding english alphabet letters using EEG phase information

YY Wang, P Wang, Y Yu - Frontiers in neuroscience, 2018 - frontiersin.org
Increasing evidence indicates that the phase pattern and power of the low frequency
oscillations of brain electroencephalograms (EEG) contain significant information during the …

The role of vowel and consonant onsets in neural tracking of natural speech

MJ Monesi, J Vanthornhout… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. To investigate how the auditory system processes natural speech, models have
been created to relate the electroencephalography (EEG) signal of a person listening to …

Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir

MA Moinnereau, T Brienne, S Brodeur, J Rouat… - ar** of meaningful labels to sound input requires accurate representation of
that sound's acoustic variances in time and spectrum. For some individuals, such as children …

A frequency-band coupling model of EEG signals can capture features from an input audio stimulus

MA Moinnereau, J Rouat, K Whittingstall, E Plourde - Hearing Research, 2020 - Elsevier
Despite decades of research, the features of an input audio stimulus that are encoded in an
electroencephalogram (EEG) are still not clearly identified. We wish to investigate whether a …