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		<id>https://seancarver.org/index.php?action=history&amp;feed=atom&amp;title=Project3NewThought</id>
		<title>Project3NewThought - Revision history</title>
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		<updated>2026-04-17T01:40:18Z</updated>
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	<entry>
		<id>https://seancarver.org/index.php?title=Project3NewThought&amp;diff=122&amp;oldid=prev</id>
		<title>Carver at 20:08, 28 January 2009</title>
		<link rel="alternate" type="text/html" href="https://seancarver.org/index.php?title=Project3NewThought&amp;diff=122&amp;oldid=prev"/>
				<updated>2009-01-28T20:08:00Z</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=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 20:08, 28 January 2009&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=&#039;diff-marker&#039;&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; 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;Here&amp;#039;s an idea for a straightforward project that builds upon the idea for project 3 introduced the first day of class.&amp;#160; &lt;/del&gt;There has been a lot of papers &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;using &lt;/del&gt;and applying techniques of testing whether a system is chaotic.&amp;#160; I don&amp;#039;t know what the current state of the field is but the problem has been that it is difficult to tell between a chaotic system and a noisy system.&amp;#160; Nevertheless it has been a problem that has captivated the imagination of many researchers.&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; 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;There has been a lot of papers &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;developing &lt;/ins&gt;and applying techniques of testing whether a system is chaotic.&amp;#160; I don&amp;#039;t know what the current state of the field is but the problem has been that it is difficult to tell between a chaotic system and a noisy system.&amp;#160; Nevertheless it has been a problem that has captivated the imagination of many researchers.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; 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;The ghostburster cell exhibits chaos for some values of the parameters and not for others.&amp;#160; Models that exhibit qualitatively different behavior for different parameters have a bifurcation structure that can be visualized with a bifurcation diagram (shown in the paper).&amp;#160; Usually, when you &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;change &lt;/del&gt;parameters, the qualitative properties of the cell (e.g. quiesient, bistable, tonically active, chaotic) don&amp;#039;t change&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;: for most small changes in the parameters, &lt;/del&gt;the resulting models are equivalent.&amp;#160; Only at discrete values of the parameters do bifurcations (qualitative changes in the &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;models&lt;/del&gt;) occur (e.g. quiesent --&amp;gt; tonically active).&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; 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;The ghostburster &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;model &lt;/ins&gt;cell exhibits chaos for some values of the parameters and not for others.&amp;#160; Models that exhibit qualitatively different behavior for different parameters have a bifurcation structure that can be visualized with a bifurcation diagram (shown in the paper).&amp;#160; Usually, when you &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;make small changes to the &lt;/ins&gt;parameters, the qualitative properties of the cell (e.g. quiesient, bistable, tonically active, chaotic) don&amp;#039;t change &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;(&lt;/ins&gt;the resulting models are equivalent&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;)&lt;/ins&gt;.&amp;#160; Only at discrete values of the parameters do &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;quot;&lt;/ins&gt;bifurcations&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;&amp;quot; &lt;/ins&gt;(qualitative changes in the &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;model&lt;/ins&gt;) occur (e.g. quiesent --&amp;gt; tonically active).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; 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;Let&amp;#039;s say (&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;GTG more later&lt;/del&gt;...&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;)&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; 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;Let&amp;#039;s say &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;you fix all but one &lt;/ins&gt;(&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;or two) of the parameters and try to fit the one (or two) that remain.&amp;#160; In these situations you can actually draw both the bifurcation diagram and the likelihood function.&amp;#160; It would interesting to see what the relationship between the other figures are as you vary the other (&amp;quot;fixed&amp;quot;) parameters&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt; When will the maximum likelihood estimates of the parameters tell you in what region of the bifurcation diagram you lie?&amp;#160; When will&amp;#160; they tell you that the cell exhibits backpropagation?&amp;#160; When will they distiguish between a nonchaotic cell perturbed by noise and a chaotic cell perturbed by noise?&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; 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;&amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot;&gt;&amp;#160;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; 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;I said in class that this project was the most risky in terms of being publishable&lt;/ins&gt;. &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt; This is only because the story we would tell is not yet clear.&amp;#160; Sometimes the most risk involves the most potential payoff.&amp;#160; That is not yet clear, but it is clear that this project would be doable and interesting&lt;/ins&gt;.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Carver</name></author>	</entry>

	<entry>
		<id>https://seancarver.org/index.php?title=Project3NewThought&amp;diff=121&amp;oldid=prev</id>
		<title>Carver: New page: Here&#039;s an idea for a straightforward project that builds upon the idea for project 3 introduced the first day of class.  There has been a lot of papers using and applying techniques of tes...</title>
		<link rel="alternate" type="text/html" href="https://seancarver.org/index.php?title=Project3NewThought&amp;diff=121&amp;oldid=prev"/>
				<updated>2009-01-28T18:28:42Z</updated>
		
		<summary type="html">&lt;p&gt;New page: Here&amp;#039;s an idea for a straightforward project that builds upon the idea for project 3 introduced the first day of class.  There has been a lot of papers using and applying techniques of tes...&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Here&amp;#039;s an idea for a straightforward project that builds upon the idea for project 3 introduced the first day of class.  There has been a lot of papers using and applying techniques of testing whether a system is chaotic.  I don&amp;#039;t know what the current state of the field is but the problem has been that it is difficult to tell between a chaotic system and a noisy system.  Nevertheless it has been a problem that has captivated the imagination of many researchers.&lt;br /&gt;
&lt;br /&gt;
The ghostburster cell exhibits chaos for some values of the parameters and not for others.  Models that exhibit qualitatively different behavior for different parameters have a bifurcation structure that can be visualized with a bifurcation diagram (shown in the paper).  Usually, when you change parameters, the qualitative properties of the cell (e.g. quiesient, bistable, tonically active, chaotic) don&amp;#039;t change: for most small changes in the parameters, the resulting models are equivalent.  Only at discrete values of the parameters do bifurcations (qualitative changes in the models) occur (e.g. quiesent --&amp;gt; tonically active).&lt;br /&gt;
&lt;br /&gt;
Let&amp;#039;s say (GTG more later...)&lt;/div&gt;</summary>
		<author><name>Carver</name></author>	</entry>

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