Progress towards biocompatible intracortical microelectrodes for neural interfacing applications
To ensure long-term consistent neural recordings, next-generation intracortical
microelectrodes are being developed with an increased emphasis on reducing the neuro …
microelectrodes are being developed with an increased emphasis on reducing the neuro …
[HTML][HTML] Brain-computer interface: applications to speech decoding and synthesis to augment communication
Damage or degeneration of motor pathways necessary for speech and other movements, as
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …
A high-performance speech neuroprosthesis
Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …
An accurate and rapidly calibrating speech neuroprosthesis
Background Brain–computer interfaces can enable communication for people with paralysis
by transforming cortical activity associated with attempted speech into text on a computer …
by transforming cortical activity associated with attempted speech into text on a computer …
Toward a realistic model of speech processing in the brain with self-supervised learning
Several deep neural networks have recently been shown to generate activations similar to
those of the brain in response to the same input. These algorithms, however, remain largely …
those of the brain in response to the same input. These algorithms, however, remain largely …
Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy
Abstract Machine learning techniques are increasingly used in neuroscience to classify
brain signals. Decoding performance is reflected by how much the classification results …
brain signals. Decoding performance is reflected by how much the classification results …
Flexible, foldable, actively multiplexed, high-density electrode array for map** brain activity in vivo
Arrays of electrodes for recording and stimulating the brain are used throughout clinical
medicine and basic neuroscience research, yet are unable to sample large areas of the …
medicine and basic neuroscience research, yet are unable to sample large areas of the …
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 …
Restoring motor control and sensory feedback in people with upper extremity amputations using arrays of 96 microelectrodes implanted in the median and ulnar …
TS Davis, HAC Wark, DT Hutchinson… - Journal of neural …, 2016 - iopscience.iop.org
Objective. An important goal of neuroprosthetic research is to establish bidirectional
communication between the user and new prosthetic limbs that are capable of controlling> …
communication between the user and new prosthetic limbs that are capable of controlling> …
Speech synthesis from ECoG using densely connected 3D convolutional neural networks
Objective. Direct synthesis of speech from neural signals could provide a fast and natural
way of communication to people with neurological diseases. Invasively-measured brain …
way of communication to people with neurological diseases. Invasively-measured brain …