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

<p>This data set contains intracranial EEG data, analysis code and results associated with the manuscript, &quot;<strong>Hippocampal Sharp-wave Ripples Linked to Visual Episodic Recollection in Humans</strong>&quot;.&nbsp;[DOI: 10.1126/science.aax1030]</p> <p>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: &ldquo;Norman_et_al_2019_data_and_code_zenodo.zip&quot;.</p> <p>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.</p> <p>Matlab&#39;s Signal Processing Toolbox is required.</p> <p><strong>General notes:</strong></p> <p>1) The data does not contain identifying details about the patients, nor voice recordings.</p> <p>2) Before running the analyses, make sure you set the correct paths in the &quot;startup_script.m&quot; located in the main folder&nbsp;where the zip file was extracted.</p> <p>3) To run the code, the following open-source toolboxes are required:</p> <ul> <li><strong>EEGLAB</strong> (<a href="https://sccn.ucsd.edu/eeglab/download.php">https://sccn.ucsd.edu/eeglab/download.php</a>), version:&nbsp;&quot;eeglab14_1_2b&quot;.&nbsp; <ul> <li>A. Delorme, S. Makeig, EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. <em>J. Neurosci. Methods</em>. <strong>134</strong>, 9&ndash;21 (2004).</li> </ul> </li> <li><strong>Mass Univariate ERP Toolbox</strong> (<a href="https://openwetware.org/wiki/Mass_Univariate_ERP_Toolbox">https://openwetware.org/wiki/Mass_Univariate_ERP_Toolbox</a>), version: &quot;dmgroppe-Mass_Univariate_ERP_Toolbox-d1e60d4&quot;. <ul> <li>D. M. Groppe, T. P. Urbach, M. Kutas, Mass univariate analysis of event-related brain potentials/fields I: A critical tutorial review. <em>Psychophysiology</em>. <strong>48</strong>, 1711&ndash;1725 (2011).</li> </ul> </li> </ul> <p>*** Make&nbsp;sure you download&nbsp;the relevant toolboxes and save them&nbsp;in the &quot;path_to_toolboxes&quot; before&nbsp;running the analysis scripts (see &quot;startup_script.m&quot;)</p> <p>4) Code developed by other authors (redistributed here as part of the analysis code):</p> <ul> <li>DRtoolbox (https://lvdmaaten.github.io/drtoolbox/), version: 0.8.1b. <ul> <li>L.J.P. van der Maaten, E.O. Postma, and H.J. van den Herik.&nbsp;<strong>Dimensionality Reduction: A Comparative Review</strong>. Tilburg University Technical Report, TiCC-TR 2009-005, 2009.</li> </ul> </li> <li>Scott Lowe / superbar (<a href="https://github.com/scottclowe/superbar">https://github.com/scottclowe/superbar</a>), version: 1.5.0.</li> <li>Oliver J. Woodford, Yair M. Altman / export_fig (<a href="https://github.com/altmany/export_fig">https://github.com/altmany/export_fig</a>).</li> </ul>