NAPLib: An open source toolbox for real-time and offline Neural Acoustic Processing
Bahar Khalighinejad, Tasha Nagamine, Ashesh D. Mehta, Nima Mesgarani
Abstract
In this paper, we introduce the Neural Acoustic Processing Library (NAPLib), a toolbox containing novel processing methods for real-time and offline analysis of neural activity in response to speech. Our method divides the speech signal and resultant neural activity into segmental units (e.g., phonemes), allowing for fast and efficient computations that can be implemented in real-time. NAPLib contains a suite of tools that characterize various properties of the neural representation of speech, which can be used for functionality such as characterizing electrode tuning properties, brain mapping and brain computer interfaces. The library is general and applicable to both invasive and non-invasive recordings, including electroencephalography (EEG), electrocorticography (ECoG) and magnetoecnephalography (MEG). In this work, we describe the structure of NAPLib, as well as demonstrating its use in both EEG and ECoG. We believe NAPLib provides a valuable tool to both clinicians and researchers who are interested in the representation of speech in the brain.
BibTeX
@inproceedings{icassp2017_naplibanopensour,
title = {NAPLib: An open source toolbox for real-time and offline Neural Acoustic Processing},
author = {Bahar Khalighinejad and Tasha Nagamine and Ashesh D. Mehta and Nima Mesgarani},
booktitle = {ICASSP 2017},
year = {2017}
}