<?xml version="1.0" encoding="utf-8"?>
<!-- generator="FeedCreator 1.7.2-ppt DokuWiki" -->
<?xml-stylesheet href="http://172.24.10.4/dataanalysis-course-2014/lib/exe/css.php?s=feed" type="text/css"?>
<rdf:RDF
    xmlns="http://purl.org/rss/1.0/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
    xmlns:dc="http://purl.org/dc/elements/1.1/">
    <channel rdf:about="http://172.24.10.4/dataanalysis-course-2014/feed.php">
        <title>Data Analysis Course 2014</title>
        <description></description>
        <link>http://172.24.10.4/dataanalysis-course-2014/</link>
        <image rdf:resource="http://172.24.10.4/dataanalysis-course-2014/lib/tpl/dokuwiki/images/favicon.ico" />
       <dc:date>2026-04-13T01:06:12+02:00</dc:date>
        <items>
            <rdf:Seq>
                <rdf:li rdf:resource="http://172.24.10.4/dataanalysis-course-2014/doku.php?id=course_modules&amp;rev=1393946858&amp;do=diff"/>
                <rdf:li rdf:resource="http://172.24.10.4/dataanalysis-course-2014/doku.php?id=course_schedule&amp;rev=1393314552&amp;do=diff"/>
                <rdf:li rdf:resource="http://172.24.10.4/dataanalysis-course-2014/doku.php?id=start&amp;rev=1420805140&amp;do=diff"/>
            </rdf:Seq>
        </items>
    </channel>
    <image rdf:about="http://172.24.10.4/dataanalysis-course-2014/lib/tpl/dokuwiki/images/favicon.ico">
        <title>Data Analysis Course 2014</title>
        <link>http://172.24.10.4/dataanalysis-course-2014/</link>
        <url>http://172.24.10.4/dataanalysis-course-2014/lib/tpl/dokuwiki/images/favicon.ico</url>
    </image>
    <item rdf:about="http://172.24.10.4/dataanalysis-course-2014/doku.php?id=course_modules&amp;rev=1393946858&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2014-03-04T16:27:38+02:00</dc:date>
        <title>course_modules</title>
        <link>http://172.24.10.4/dataanalysis-course-2014/doku.php?id=course_modules&amp;rev=1393946858&amp;do=diff</link>
        <description>Course Format and Course Modules


This 6th G-Node Course on Neural Data Analysis comprises four course modules, one module for each day.
Each module treats a specific topic that will be presented by one faculty member.
Each module includes an introductory lecture plus a total of six hours of practical course work.
All students are required to prepare in advance on the basis of the introductory reading lists below.</description>
    </item>
    <item rdf:about="http://172.24.10.4/dataanalysis-course-2014/doku.php?id=course_schedule&amp;rev=1393314552&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2014-02-25T08:49:12+02:00</dc:date>
        <title>course_schedule</title>
        <link>http://172.24.10.4/dataanalysis-course-2014/doku.php?id=course_schedule&amp;rev=1393314552&amp;do=diff</link>
        <description>Schedule
                             Feb 24, 2014            Feb 25, 2014           Feb 26, 2014         Feb 27, 2014          Feb 28, 2014        Lecturer                                            Alex Loebel            Thomas Wachtler       Fabian Sinz          Jan Grewe     Topic                                               Synaptic Plasticity    Tuning and Decoding    Information Theory    Spectral Analysis                                                                                   …</description>
    </item>
    <item rdf:about="http://172.24.10.4/dataanalysis-course-2014/doku.php?id=start&amp;rev=1420805140&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2015-01-09T13:05:40+02:00</dc:date>
        <title>start</title>
        <link>http://172.24.10.4/dataanalysis-course-2014/doku.php?id=start&amp;rev=1420805140&amp;do=diff</link>
        <description>Munich, February 24 - 28, 2014

The G-Node Winter Course on Neural Data Analysis is held on a yearly basis. This 6th course will give hands-on experience with neural data analysis for PhD students and young postdocs. Participants with either theoretical or experimental background are equally invited.  Participants may have a theoretical  background with interest in analyzing biological (or simulated) data, or they may come from an experimental background, interested in new ways of analyzing thei…</description>
    </item>
</rdf:RDF>
