Linear modeling of neurophysiological responses to speech and other continuous stimuli: methodological considerations for applied research
Cognitive neuroscience, in particular research on speech and language, has seen an
increase in the use of linear modeling techniques for studying the processing of natural …
increase in the use of linear modeling techniques for studying the processing of natural …
Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review
Objective. Code-modulated visual evoked potentials (c-VEP) have been consolidated in
recent years as robust control signals capable of providing non-invasive brain–computer …
recent years as robust control signals capable of providing non-invasive brain–computer …
A hierarchy of linguistic predictions during natural language comprehension
Understanding spoken language requires transforming ambiguous acoustic streams into a
hierarchy of representations, from phonemes to meaning. It has been suggested that the …
hierarchy of representations, from phonemes to meaning. It has been suggested that the …
The multivariate temporal response function (mTRF) toolbox: a MATLAB toolbox for relating neural signals to continuous stimuli
Understanding how brains process sensory signals in natural environments is one of the key
goals of twenty-first century neuroscience. While brain imaging and invasive …
goals of twenty-first century neuroscience. While brain imaging and invasive …
Rapid transformation from auditory to linguistic representations of continuous speech
During speech perception, a central task of the auditory cortex is to analyze complex
acoustic patterns to allow detection of the words that encode a linguistic message [1]. It is …
acoustic patterns to allow detection of the words that encode a linguistic message [1]. It is …
Speech intelligibility predicted from neural entrainment of the speech envelope
Speech intelligibility is currently measured by scoring how well a person can identify a
speech signal. The results of such behavioral measures reflect neural processing of the …
speech signal. The results of such behavioral measures reflect neural processing of the …
Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis
Electrophysiological research with event-related brain potentials (ERPs) is increasingly
moving from simple, strictly orthogonal stimulation paradigms towards more complex, quasi …
moving from simple, strictly orthogonal stimulation paradigms towards more complex, quasi …
Regression-based analysis of combined EEG and eye-tracking data: Theory and applications
Abstract Fixation-related potentials (FRPs), neural responses aligned to the end of
saccades, are a promising tool for studying the dynamics of attention and cognition under …
saccades, are a promising tool for studying the dynamics of attention and cognition under …
Neural responses to uninterrupted natural speech can be extracted with precise temporal resolution
The human auditory system has evolved to efficiently process individual streams of speech.
However, obtaining temporally detailed responses to distinct continuous natural speech …
However, obtaining temporally detailed responses to distinct continuous natural speech …
A comparison of regularization methods in forward and backward models for auditory attention decoding
The decoding of selective auditory attention from noninvasive electroencephalogram (EEG)
data is of interest in brain computer interface and auditory perception research. The current …
data is of interest in brain computer interface and auditory perception research. The current …