Data for: A high-performance speech neuroprosthesis

Brain-computer interfaces (BCIs) can restore communication to people who have lost the ability to move or speak. In this study, we demonstrated an intracortical BCI that decodes attempted speaking movements from neural activity in motor cortex and translates it to text in real-time, using a recurrent neural network decoding approach. With this BCI, our study participant, who can no longer speak intelligibly due to amyotrophic lateral sclerosis, achieved a 9.1% word error rate on a 50-word vocabulary and a 23.8% word error rate on a 125,000-word vocabulary. 
This dataset contains all of the neural activity recorded during these experiments, consisting of 12,100 spoken sentences as well as instructed delay experiments designed to investigate the neural representation of orofacial movement and speech production.
The data have also been formatted for developing and evaluating machine learning decoding methods, and we intend to host a decoding competition. To this end, the data also contain ..., , The data consists of .mat files that are intended to be loaded with MATLAB or Python (scipy.io.loadmat). See the individual readme.txt files for a detailed description of the data contents and format.
 *** Note: Please use the latest release, which contains bug fixes to various aspects of the data. See the README.md file for notes as to what has changed in the latest release ***, # Data from: A high-performance speech neuroprosthesis

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Brain-computer interfaces (BCIs) can restore communication to people who have lost the ability to move or speak. In this study, we demonstrated an intracortical BCI that decodes attempted speaking movements from neural activity in motor cortex and translates it to text in real-time, using a recurrent neural network decoding approach. With this BCI, our study participant, who can no longer speak intelligibly due amyotrophic lateral sclerosis, achieved a 9.1% word error rate on a 50 word vocabulary and a 23.8% word error rate on a 125,000 word vocabulary. Neural activity was recorded with microelectrode arrays, and neural features are provided in the form of binned threshold crossings and spike band power (20 ms bins).

This dataset contains all of the neural activity recorded during these experiments, consisting of 12,100 spoken sentences as well as instructed delay experiments designed to investigate the neural representation ...