Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria

By David A. Moses, Sean L. Metzger, Jessie R. Liu, Gopala Krishna Anumanchipalli, Joseph G. Makin, Pengfei F Sun, Josh Chartier, Maximilian E. Dougherty, Patricia M Liu, G. Abrams and 3 more. 2021

Subfields: Biomedical Engineering, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Maxime Verwoert
2. J. Amigó-Vega
3. Maarten C. Ottenhoff
4. Christian Herff
5. Pieter Leonard Kubben

Citations in the corpus

• The Easy and Versatile Neural Recording Platform (T-REX): Design and Development Study (2023, background): “For speech production [33-36], the streams could be neural data, microphone, and triggers.”
• A supervised data-driven spatial filter denoising method for speech artifacts in intracranial electrophysiological recordings (2023, unknown): “To develop brain-computer interfaces (BCI) for speech protheses, the neural activity in the high gamma band (60-200 Hz) is typically used for speech decoders 4–7 .”
• T-Rex: sTandalone Recorder of EXperiments; An easy and versatile neural recording platform (2022, background): “For speech production ([26], [27], [28], [29]), the streams could be neural data, microphone, and triggers.”