Tag: brain-computer interface

AI Machine Learning & Data Science Research

Stanford U’s Brain-Computer Interface Enables Stroke and ALS Patients to ‘Speak’ 62 Words per Minute

A Stanford University research team presents a brain-computer interface for translating speech-related neural activity into text (speech BCI) in the new paper A High-performance Speech Neuroprosthesis. Theirs is the first speech BCI to record impulse activity from intracortical microelectrode arrays and could benefit people unable to produce clear utterances due to diseases such as stroke and ALS.

AI Machine Learning & Data Science Research

Meta AI & Inria Saclay Advance BCIs to Enable Natural Speech Decoding From Non-Invasive Brain Recordings

In the new paper Decoding Speech From Non-Invasive Brain Recordings, a research team from Meta AI and the Inria Saclay Centre presents a single end-to-end architecture for decoding natural speech processing from non-invasive magnetoencephalography (MEG) or electroencephalography (EEG) brain recordings that can detect macroscopic brain signals in real-time.

AI Machine Learning & Data Science Research

Turning a Raspberry Pi Into a Brain-Computer Interface? Researchers Open-Source the Low-Cost, High-Precision PIEEG

PhD electronic researcher Ildar Rakhmatulin and brain-computer interface developer Sebastian Völkl open-source an inexpensive, high-precision, easy-to-maintain PIEEG board that can convert a Raspberry Pi into a brain-computer interface for measuring and processing eight real-time EEG (Electroencephalography) signals.