https://nemenmanlab.org/~ilya/index.php?action=history&feed=atom&title=Behavioral_Analysis 2026-04-05T22:47:10Z Revision history for this page on the wiki MediaWiki 1.31.0 https://nemenmanlab.org/~ilya/index.php?title=Behavioral_Analysis&diff=3507&oldid=prev 2020-03-02T19:53:38Z

<p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 19:53, 2 March 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{Locomotion2020}}</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{Locomotion2020}}</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>by '''<del class="diffchange diffchange-inline">Jesse Lauer</del>'''</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>by '''<ins class="diffchange diffchange-inline">Gordon Berman</ins>'''<ins class="diffchange diffchange-inline">, Emory University</ins></div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;Abstract</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;Abstract</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:<del class="diffchange diffchange-inline">DeepLabCut is </del>an <del class="diffchange diffchange-inline">open</del>-<del class="diffchange diffchange-inline">source toolbox for markerless animal/human pose estimation achieving human accuracy with little training data</del>. <del class="diffchange diffchange-inline">Participants </del>will <del class="diffchange diffchange-inline">be walked through project creation, data curation, model training, </del>and <del class="diffchange diffchange-inline">analysis. Special emphasis </del>will <del class="diffchange diffchange-inline">be placed on current applications</del>, <del class="diffchange diffchange-inline">best practices and common pitfalls</del>, <del class="diffchange diffchange-inline">as well as what </del>to <del class="diffchange diffchange-inline">do next with the </del>data.</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:<ins class="diffchange diffchange-inline">This workshop will provide an introduction to </ins>an <ins class="diffchange diffchange-inline">automated method in behavioral analysis — specifically how to go from images or tracking data to a low</ins>-<ins class="diffchange diffchange-inline">dimensional representation of an animal’s stereotyped behaviors</ins>. <ins class="diffchange diffchange-inline"> The workshop </ins>will <ins class="diffchange diffchange-inline">begin with a brief lecture that summarizes the state-of-the-art in the field </ins>and will <ins class="diffchange diffchange-inline">conclude with a tutorial where participants can apply one of the methods</ins>, <ins class="diffchange diffchange-inline">behavioral mapping</ins>, to data <ins class="diffchange diffchange-inline">sets</ins>.</div></td></tr> <!-- diff cache key ilya_wikidb:diff::1.12:old-3505:rev-3507 --> </table>

Ilya https://nemenmanlab.org/~ilya/index.php?title=Behavioral_Analysis&diff=3505&oldid=prev 2020-03-02T19:53:01Z

<p>Created page with &quot;{{Locomotion2020}} by &#039;&#039;&#039;Jesse Lauer&#039;&#039;&#039; ;Abstract :DeepLabCut is an open-source toolbox for markerless animal/human pose estimation achieving human accuracy with little train...&quot;</p> <p><b>New page</b></p><div>{{Locomotion2020}}<br /> <br /> by '''Jesse Lauer'''<br /> ;Abstract<br /> :DeepLabCut is an open-source toolbox for markerless animal/human pose estimation achieving human accuracy with little training data. Participants will be walked through project creation, data curation, model training, and analysis. Special emphasis will be placed on current applications, best practices and common pitfalls, as well as what to do next with the data.</div>

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