Data related to the article: Y. Norman et al., Science 365, eaax1030 (2019)

This data set contains intracranial EEG data, analysis code and results associated with the manuscript, "Hippocampal Sharp-wave Ripples Linked to Visual Episodic Recollection in Humans". [DOI: 10.1126/science.aax1030]

Data files (.mat) and associated scripts (.m) are divided into folders according to the subject of the analysis (e.g. ripple detection, ripple-triggered averages, multivariate pattern analysis etc.) and are all contained in the .zip file: “Norman_et_al_2019_data_and_code_zenodo.zip".

The code is written in Matlab R2018b and run on a desktop computer with a 3.4Ghz Intel Core i7-6700 CPU with 64GB RAM.

Matlab's Signal Processing Toolbox is required.

General notes:

1) The data does not contain identifying details about the patients, nor voice recordings.

2) Before running the analyses, make sure you set the correct paths in the "startup_script.m" located in the main folder where the zip file was extracted.

3) To run the code, the following open-source toolboxes are required:

• EEGLAB (https://sccn.ucsd.edu/eeglab/download.php), version: "eeglab14_1_2b". 
  • A. Delorme, S. Makeig, EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods. 134, 9–21 (2004).
• Mass Univariate ERP Toolbox (https://openwetware.org/wiki/Mass_Univariate_ERP_Toolbox), version: "dmgroppe-Mass_Univariate_ERP_Toolbox-d1e60d4".
  • D. M. Groppe, T. P. Urbach, M. Kutas, Mass univariate analysis of event-related brain potentials/fields I: A critical tutorial review. Psychophysiology. 48, 1711–1725 (2011).

*** Make sure you download the relevant toolboxes and save them in the "path_to_toolboxes" before running the analysis scripts (see "startup_script.m")

4) Code developed by other authors (redistributed here as part of the analysis code):

• DRtoolbox (https://lvdmaaten.github.io/drtoolbox/), version: 0.8.1b.
  • L.J.P. van der Maaten, E.O. Postma, and H.J. van den Herik. Dimensionality Reduction: A Comparative Review. Tilburg University Technical Report, TiCC-TR 2009-005, 2009.
• Scott Lowe / superbar (https://github.com/scottclowe/superbar), version: 1.5.0.
• Oliver J. Woodford, Yair M. Altman / export_fig (https://github.com/altmany/export_fig).