Software Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.4110614</identifier> <creators> <creator> <creatorName>Heining, Katharina</creatorName> <givenName>Katharina</givenName> <familyName>Heining</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1976-3764</nameIdentifier> <affiliation>Biomicrotechnology, Department of Microsystems Engineering – IMTEK, Faculty of Engineering, University of Freiburg, 79110 Freiburg, Germany; Bernstein Center Freiburg, University of Freiburg, 79104 Freiburg, Germany; Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany</affiliation> </creator> </creators> <titles> <title>Code for detecting and classifying epileptiform activity (EA)</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <subjects> <subject>epileptiform activity</subject> <subject>local field potential</subject> <subject>detection of epileptiform spikes</subject> </subjects> <dates> <date dateType="Issued">2020-10-20</date> </dates> <resourceType resourceTypeGeneral="Software"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4110614</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4110613</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p><strong>Code for detecting and classifying epileptiform activity (EA)</strong><br> Written by Katharina Heining, last modified 2020/10/20 &nbsp;<br> Institution: University of Freiburg, Germany<br> Accompanying Paschen et al. (2020), eLife</p> <p>The subdirectory <strong>core</strong> contains the main code: &nbsp;</p> <ul> <li>&nbsp;<em>ed_detection.py</em>:&nbsp;&nbsp;&nbsp; wrapper for preprocessing, spike detection and spike sorting &nbsp;</li> <li>&nbsp;<em>artisfaction.py</em>:&nbsp;&nbsp; &nbsp;semiautomatic identification of artifacts</li> <li>&nbsp;<em>blipS.py</em>:&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; spike detection* blipsort.py:&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp; spike sorting</li> <li>&nbsp;<em>ea_analysis.py</em>:&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp; wrapper for burst detection and classification</li> <li>&nbsp;<em>somify.py</em>:&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; projecting data on a SOM and SOM plotting</li> <li>&nbsp;<em>helpers.py</em>:&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; supportive functions for the other scripts</li> <li>&nbsp;<em>ea_management.py</em>:&nbsp;&nbsp; &nbsp;reading data, handling results, recording-class functions</li> </ul> <p><em>configAnalysis.yml</em> contains parameters used for analyses &nbsp;<br> <em>som.h5</em> holds the SOM obtained from reference dataset -- see Heining et al. (2019), referenced below.* &nbsp;</p> <p>The subdirectory <strong>code_for_figures</strong> contains the code used for illustration (Supplementary Figure 1).<br> &nbsp;<br> The code contained in this folder is &copy; K. Heining, 2020, developed at the University of Freiburg. &nbsp;<br> This code is made available under the BSD license enclosed with the software (see licence.txt).<br> Over and above the legal restrictions imposed by this license, if you use this software for an academic publication then you are obliged to provide proper attribution.<br> For this, you need to cite the paper that describes the code: &nbsp;<br> * Heining, K., Kilias, A., Janz, P., H&auml;ussler, U., Kumar, A., Haas, C. A., and Egert, U.<br> (2019). Bursts with high and low load of epileptiform spikes show context-dependent<br> correlations in epileptic mice. eNeuro, 6(5).</p></description> <description descriptionType="Other">This work was supported by the German Research Foundation as part of the Cluster of Excellence 'BrainLinks-BrainTools' within the framework of the German Excellence Initiative (grant number EXC 1086) and through grant no INST 39/963-1 FUGG (bwForCluster NEMO), the State of Baden-Wuerttemberg through bwHPC, and by the Federal Ministry of Education and Research (BMBF, grant number FKZ 1GQ0830 and 16PGF0070), co-financed by the European Union/European Regional Development Fund (TIGER, A31).</description> </descriptions> </resource>
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