Towards reconstructing intelligible speech from the human auditory cortex
Auditory stimulus reconstruction is a technique that finds the best approximation of the
acoustic stimulus from the population of evoked neural activity. Reconstructing speech from …
acoustic stimulus from the population of evoked neural activity. Reconstructing speech from …
Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus
Objective. To evaluate the potential of intracortical electrode array signals for brain-computer
interfaces (BCIs) to restore lost speech, we measured the performance of decoders trained …
interfaces (BCIs) to restore lost speech, we measured the performance of decoders trained …
Observation and assessment of acoustic contamination of electrophysiological brain signals during speech production and sound perception
P Roussel, G Le Godais, F Bocquelet… - Journal of Neural …, 2020 - iopscience.iop.org
Objective. A current challenge of neurotechnologies is to develop speech brain-computer
interfaces aiming at restoring communication in people unable to speak. To achieve a proof …
interfaces aiming at restoring communication in people unable to speak. To achieve a proof …
Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models
J Berezutskaya, ZV Freudenburg… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Development of brain–computer interface (BCI) technology is key for enabling
communication in individuals who have lost the faculty of speech due to severe motor …
communication in individuals who have lost the faculty of speech due to severe motor …
Iterative alignment discovery of speech-associated neural activity
Objective. Brain–computer interfaces (BCIs) have the potential to preserve or restore speech
in patients with neurological disorders that weaken the muscles involved in speech …
in patients with neurological disorders that weaken the muscles involved in speech …
Stability of ECoG high gamma signals during speech and implications for a speech BCI system in an individual with ALS: a year-long longitudinal study
Objective. Speech brain–computer interfaces (BCIs) have the potential to augment
communication in individuals with impaired speech due to muscle weakness, for example in …
communication in individuals with impaired speech due to muscle weakness, for example in …
Machine learning algorithm for decoding multiple subthalamic spike trains for speech brain–machine interfaces
A Tankus, L Solomon, Y Aharony… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. The goal of this study is to decode the electrical activity of single neurons in the
human subthalamic nucleus (STN) to infer the speech features that a person articulated …
human subthalamic nucleus (STN) to infer the speech features that a person articulated …
An EEG channel selection method for motor imagery based on Fisher score and local optimization
Objective. Multi-channel electroencephalogram (EEG) technology in brain–computer
interface (BCI) research offers the advantage of enhanced spatial resolution and system …
interface (BCI) research offers the advantage of enhanced spatial resolution and system …
Online ternary classification of covert speech by leveraging the passive perception of speech
Brain–computer interfaces (BCIs) provide communicative alternatives to those without
functional speech. Covert speech (CS)-based BCIs enable communication simply by …
functional speech. Covert speech (CS)-based BCIs enable communication simply by …
Decoding four hand gestures with a single bipolar pair of electrocorticography electrodes
M Verwoert, MJ Vansteensel… - Journal of neural …, 2021 - iopscience.iop.org
Objective. Electrocorticography (ECoG) based brain–computer interfaces (BCIs) can be
used to restore communication in individuals with locked-in syndrome. In motor-based BCIs …
used to restore communication in individuals with locked-in syndrome. In motor-based BCIs …