Human_MTL_units_visual_WM
Dataset of human medial temporal lobe neurons during a visual working memory task
Summary
We present an electrophysiological dataset recorded from thirteen subjects during a visual working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects performed a ...
Downloading the data
Using gin
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Clone the repository using:
gin get USZ_NCH/Human_MTL_units_visual_WM
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gin unlock <filename>
To remove the contents of a large file again, use
gin lock <filename>
gin remove-content <filename>
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Using git annex
Make sure git and git-annex are installed on your computer. Create an account on gin and upload your public SSH key to your gin profile. Then clone the repository using
git clone git@gin.g-node.org:/USZ_NCH/Human_MTL_units_visual_WM.git
Large data files will not be downloaded automatically. To get them, use
git annex get <filename>
Downloaded large files will be locked (read-only). You must unlock the files using
git annex unlock <filename>
To remove the contents of a large file again, use
git annex --force lock <filename>
git annex drop <filename>
See the git annex documentation for details.
Using the web browser
Download the latest release as a zip file by clicking on Releases on the main page at https://gin.g-node.org/USZ_NCH/Human_MTL_units_visual_WM. This zip file will contain all small (text) files only, while large data files will not be downloaded automatically and an empty placeholder will be put in their place. To get the full content of such a large file , download these files individually as needed from the web interface by clicking on them in the repository browser.
Repository structure
Main directory
Contains Subject_Characteristics.pdf which describes subjects and NIX_File_Structure.pdf which describes the structure of the nix files.
Directory code_MATLAB
Contains a MATLAB script (Load_Data_Example_Script.m) with code snippets to read data and task related information.
Directory data_nix
Contains nix files for each session of the task. Each file is named with the format:
Data_Subject_<subject number>_Session_<session number>.h5
Updates
Updated versions of the data and codes will be provided at:
https://gin.g-node.org/USZ_NCH/.
Support
For questions on the dataset or the task, contact Johannes.Sarnthein@usz.ch.
Related Publications
P Boran E, Hilfiker P, Stieglitz L, Sarnthein J, Klaver P. Persistent neuronal firing in the medial temporal lobe supports performance. http://doi.org/xxx.
Licensing

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
See LICENSE.txt
for the full license.