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	<id>https://nemenmanlab.org/~ilya/index.php?action=history&amp;feed=atom&amp;title=Decoding_Spike_Trains</id>
	<title>Decoding Spike Trains - Revision history</title>
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	<updated>2026-04-05T22:47:58Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://nemenmanlab.org/~ilya/index.php?title=Decoding_Spike_Trains&amp;diff=3508&amp;oldid=prev</id>
		<title>Ilya at 19:54, 2 March 2020</title>
		<link rel="alternate" type="text/html" href="https://nemenmanlab.org/~ilya/index.php?title=Decoding_Spike_Trains&amp;diff=3508&amp;oldid=prev"/>
		<updated>2020-03-02T19:54:31Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 19:54, 2 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot; &gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;{{Locomotion2020}}&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;{{Locomotion2020}}&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;by '''&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Jesse Lauer&lt;/del&gt;'''&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;by '''&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Ilya Nemenman&lt;/ins&gt;''' &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;and '''Sam Sober''', Emory University&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;;Abstract&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;;Abstract&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;:&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;DeepLabCut is &lt;/del&gt;an &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;open&lt;/del&gt;-&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;source toolbox &lt;/del&gt;for &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;markerless animal/human pose estimation achieving human accuracy with little training data. Participants will be walked through project creation&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;data curation&lt;/del&gt;, &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;model training&lt;/del&gt;, and &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;analysis. Special emphasis will be placed on current applications, best practices &lt;/del&gt;and &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;common pitfalls, as well as what to do next with the data&lt;/del&gt;.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;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;&quot;&gt;&lt;div&gt;:&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;This tutorial will provide &lt;/ins&gt;an &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;introduction for using information theoretic and statistical physics&lt;/ins&gt;-&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;based methods &lt;/ins&gt;for &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;analysis of spike trains&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;such as detecting the scale of temporal features involved in the neural control&lt;/ins&gt;, &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;detection of multi-neuron synergies&lt;/ins&gt;, and &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;identification of multi spike patterns that are correlated with (&lt;/ins&gt;and &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;possibly control) behavior&lt;/ins&gt;.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;

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&lt;/table&gt;</summary>
		<author><name>Ilya</name></author>
		
	</entry>
	<entry>
		<id>https://nemenmanlab.org/~ilya/index.php?title=Decoding_Spike_Trains&amp;diff=3506&amp;oldid=prev</id>
		<title>Ilya: Created page with &quot;{{Locomotion2020}}  by '''Jesse Lauer''' ;Abstract :DeepLabCut is an open-source toolbox for markerless animal/human pose estimation achieving human accuracy with little train...&quot;</title>
		<link rel="alternate" type="text/html" href="https://nemenmanlab.org/~ilya/index.php?title=Decoding_Spike_Trains&amp;diff=3506&amp;oldid=prev"/>
		<updated>2020-03-02T19:53:08Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{Locomotion2020}}  by &amp;#039;&amp;#039;&amp;#039;Jesse Lauer&amp;#039;&amp;#039;&amp;#039; ;Abstract :DeepLabCut is an open-source toolbox for markerless animal/human pose estimation achieving human accuracy with little train...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Locomotion2020}}&lt;br /&gt;
&lt;br /&gt;
by '''Jesse Lauer'''&lt;br /&gt;
;Abstract&lt;br /&gt;
: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.&lt;/div&gt;</summary>
		<author><name>Ilya</name></author>
		
	</entry>
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