Evolving perspectives on the sources of the frequency-following response
EBJ Coffey, T Nicol, T White-Schwoch… - Nature …, 2019 - nature.com
The auditory frequency-following response (FFR) is a non-invasive index of the fidelity of
sound encoding in the brain, and is used to study the integrity, plasticity, and behavioral …
sound encoding in the brain, and is used to study the integrity, plasticity, and behavioral …
Neural correlates and predictors of speech and language development in infants at elevated likelihood for autism: A systematic review
J Morrel, K Singapuri, RJ Landa… - Frontiers in Human …, 2023 - frontiersin.org
Autism spectrum disorder (ASD) is an increasingly prevalent and heterogeneous
neurodevelopmental condition, characterized by social communicative differences, and a …
neurodevelopmental condition, characterized by social communicative differences, and a …
Distinguishing seedling volunteer corn from soybean through greenhouse color, color-infrared, and fused images using machine and deep learning
Volunteer corn (VC; Zea mays L.), as a weed in corn-soybean (Glycine max (L.) Merr.)
rotation, has negatively impacted soybean production by reducing yield, lowering grain …
rotation, has negatively impacted soybean production by reducing yield, lowering grain …
Rhythmic temporal expectation boosts neural activity by increasing neural gain
Temporal orienting improves sensory processing, akin to other top–down biases. However,
it is unknown whether these improvements reflect increased neural gain to any stimuli …
it is unknown whether these improvements reflect increased neural gain to any stimuli …
Rapid enhancement of subcortical neural responses to sine-wave speech
The efferent auditory nervous system may be a potent force in shaping how the brain
responds to behaviorally significant sounds. Previous human experiments using the …
responds to behaviorally significant sounds. Previous human experiments using the …
Machine learning approaches to analyze speech-evoked neurophysiological responses
Purpose Speech-evoked neurophysiological responses are often collected to answer
clinically and theoretically driven questions concerning speech and language processing …
clinically and theoretically driven questions concerning speech and language processing …
Machine learning approaches used to analyze auditory evoked responses from the human auditory brainstem: A systematic review
H Wimalarathna, S Ankmnal-Veeranna, C Allan… - Computer methods and …, 2022 - Elsevier
Background The application of machine learning algorithms for assessing the auditory
brainstem response has gained interest over recent years with a considerable number of …
brainstem response has gained interest over recent years with a considerable number of …
Objective discrimination of bimodal speech using frequency following responses
Bimodal hearing, in which a contralateral hearing aid is combined with a cochlear implant
(CI), provides greater speech recognition benefits than using a CI alone. Factors predicting …
(CI), provides greater speech recognition benefits than using a CI alone. Factors predicting …
Hidden Markov modeling of frequency-following responses to Mandarin lexical tones
Background The frequency-following response (FFR) is a scalp-recorded
electrophysiological potential reflecting phase-locked activity from neural ensembles in the …
electrophysiological potential reflecting phase-locked activity from neural ensembles in the …
A novel local explainability approach for spectral insight into raw eeg-based deep learning classifiers
Spectral analysis of electroencephalography (EEG) data has developed as an important
area of EEG research. EEG spectra have been analyzed with explainable machine learning …
area of EEG research. EEG spectra have been analyzed with explainable machine learning …