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Inner speech in motor cortex and implications for speech neuroprostheses
This is an unofficial mirror of the public dataset accompanying Kunz et al. (2025). It is not affiliated with or endorsed by the dataset authors, their institutions, or Dryad.
Source and documentation
- Original dataset: Dryad DOI 10.5061/dryad.gf1vhhn1j
- Source version: 2, published July 30, 2025
- Article: Kunz et al., Cell (2025)
- Original dataset documentation:
DRYAD_README.md - Official analysis code:
nptl-stanford/inner_speech
The scientific files are the files distributed in Dryad's eleven ZIP archives.
For this mirror, the archives were extracted, each redundant archive-name
wrapper directory was removed, and macOS __MACOSX/.DS_Store metadata was
excluded. The original ZIP archives are not included, and the scientific data
files were not modified.
Dataset summary
The dataset contains approximately 10.8 GB of intracortical Utah-array neural
recordings from four BrainGate2 participants performing attempted, inner, and
perceived speech tasks. The recordings include threshold-crossing counts
(binnedTX) and spike-band-power features (spikePow) stored in MATLAB files.
They are not scalp EEG or surface ECoG recordings.
The top-level directories correspond to the eleven experiment bundles:
isolatedVerbalBehaviorsandinterleavedVerbalBehaviorssentenceDataandchittychittybangbangconjunctiveCounting- six
seqRecall*task directories
Each directory contains its task-specific documentation. The MATLAB files can
be loaded in Python with scipy.io.loadmat; field definitions and indexing
conventions are documented in those README files.
Human-participant data
The original authors state that the data are anonymized, participants are referenced only by the codes T12, T15, T16, and T17, and informed consent for data sharing was obtained. Users should nevertheless handle these human neural recordings responsibly, comply with applicable institutional and legal requirements, and not attempt to identify participants.
License
The Dryad dataset is released under the
Creative Commons Zero v1.0 Universal
public-domain dedication (CC0-1.0). CC0 permits reuse, modification, and
redistribution, including commercial use. Although attribution is not a CC0
condition, scholarly citation of the original dataset is strongly encouraged.
Citation
Kunz, Erin; Abramovich Krasa, Benyamin; Kamdar, Foram et al. (2025). Inner speech in motor cortex and implications for speech neuroprostheses [Dataset]. Dryad. https://doi.org/10.5061/dryad.gf1vhhn1j
@dataset{kunz2025innerspeech,
author = {Kunz, Erin and Abramovich Krasa, Benyamin and Kamdar, Foram and others},
title = {Inner speech in motor cortex and implications for speech neuroprostheses},
year = {2025},
publisher = {Dryad},
doi = {10.5061/dryad.gf1vhhn1j},
url = {https://doi.org/10.5061/dryad.gf1vhhn1j}
}
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