Encoding of speech modes and loudness in ventral precentral gyrus

The ability to vary the mode and loudness of speech is an important part of the expressive range of human vocal communication. However, the encoding of these behaviors in the ventral precentral gyrus (vPCG) has not been studied at the resolution of neuronal firing rates. We investigated this in two participants who had intracortical microelectrode arrays implanted in their vPCG as part of a speech neuroprosthesis clinical trial. Neuronal firing rates modulated strongly in vPCG as a function of attempted mimed, whispered, normal, or loud speech. At the neural ensemble level, mode/loudness and phonemic content were encoded in distinct neural subspaces. Attempted mode/loudness could be decoded from vPCG with 94 % and 89 % accuracy for the two participants, and corresponding neural preparatory activity at 640 ms and 270 ms before speech onset enabled 80 % decoding accuracy, respectively. We then developed a closed-loop loudness decoder that achieved 94 % online accuracy in modulating a brai..., , ## Overview

This repository contains the data necessary to reproduce the results of the manuscript \"Encoding of speech modes and loudness in ventral precentral gyrus\".

The code is written in Python and is hosted on [Github](https://github.com/Neuroprosthetics-Lab/srinivasan-speech-modes).

The data can be downloaded from this Dryad repository. Please download this data and place it in the `data` directory of the GitHub code as detailed in the README. All included data has been anonymized and does not include any identifiable information.

## Neural data

This dataset includes neural data from two participants, 'T15' and 'T16'. Each participant has four 64-electrode Utah arrays (256 electrodes total) implanted in their left precentral gyrus. Threshold crossings (-4.5 RMS threshold) and spike band power were extracted as neural features per electrode. These features were then binned every 10 ms, normalized, and smoothed. 

## Files

`t15_word-loudness.zip`: Participant T15's data from t...,