Encoding and decoding models in cognitive electrophysiology

CR Holdgraf, JW Rieger, C Micheli, S Martin… - Frontiers in systems …, 2017 - frontiersin.org
Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded
from the human brain as well as in the computational tools available to analyze this data …

Machine learning approaches to analyze speech-evoked neurophysiological responses

Z Xie, R Reetzke, B Chandrasekaran - Journal of Speech, Language, and …, 2019 - ASHA
Purpose Speech-evoked neurophysiological responses are often collected to answer
clinically and theoretically driven questions concerning speech and language processing …

Low-frequency cortical responses to natural speech reflect probabilistic phonotactics

GM Di Liberto, D Wong, GA Melnik, A de Cheveigné - Neuroimage, 2019 - Elsevier
Humans comprehend speech despite the various challenges such as mispronunciation and
noisy environments. Our auditory system is robust to these thanks to the integration of the …

Neural representation of linguistic feature hierarchy reflects second-language proficiency

GM Di Liberto, J Nie, J Yeaton, B Khalighinejad… - NeuroImage, 2021 - Elsevier
Acquiring a new language requires individuals to simultaneously and gradually learn
linguistic attributes on multiple levels. Here, we investigated how this learning process …

Orthogonal neural codes for speech in the infant brain

G Gennari, S Marti, M Palu, A Fló… - Proceedings of the …, 2021 - National Acad Sciences
Creating invariant representations from an everchanging speech signal is a major challenge
for the human brain. Such an ability is particularly crucial for preverbal infants who must …

Dataset size considerations for robust acoustic and phonetic speech encoding models in EEG

M Desai, AM Field, LS Hamilton - Frontiers in Human Neuroscience, 2023 - frontiersin.org
In many experiments that investigate auditory and speech processing in the brain using
electroencephalography (EEG), the experimental paradigm is often lengthy and tedious …

Talker discontinuity disrupts attention to speech: Evidence from EEG and pupillometry

SJ Lim, YD Carter, JM Njoroge… - Brain and …, 2021 - Elsevier
Speech is processed less efficiently from discontinuous, mixed talkers than one consistent
talker, but little is known about the neural mechanisms for processing talker variability. Here …

Joint representation of spatial and phonetic features in the human core auditory cortex

P Patel, LK Long, JL Herrero, AD Mehta, N Mesgarani - Cell reports, 2018 - cell.com
The human auditory cortex simultaneously processes speech and determines the location of
a speaker in space. Neuroimaging studies in humans have implicated core auditory areas in …

Learning nonnative speech sounds changes local encoding in the adult human cortex

HG Yi, B Chandrasekaran, KV Nourski… - Proceedings of the …, 2021 - National Acad Sciences
Adults can learn to identify nonnative speech sounds with training, albeit with substantial
variability in learning behavior. Increases in behavioral accuracy are associated with …

Early interactive acoustic experience with non-speech generalizes to speech and confers a syllabic processing advantage at 9 months

S Ortiz-Mantilla, T Realpe-Bonilla… - Cerebral Cortex, 2019 - academic.oup.com
During early development, the infant brain is highly plastic and sensory experiences
modulate emerging cortical maps, enhancing processing efficiency as infants set up key …