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	<title>Merchan and Nemenman, 2015 - Revision history</title>
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	<updated>2026-05-17T08:52:19Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://nemenmanlab.org/~ilya/index.php?title=Merchan_and_Nemenman,_2015&amp;diff=167&amp;oldid=prev</id>
		<title>Ilya: 1 revision imported</title>
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		<updated>2018-07-04T16:28:39Z</updated>

		<summary type="html">&lt;p&gt;1 revision imported&lt;/p&gt;
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				&lt;td colspan=&quot;1&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 16:28, 4 July 2018&lt;/td&gt;
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		<author><name>Ilya</name></author>
		
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	<entry>
		<id>https://nemenmanlab.org/~ilya/index.php?title=Merchan_and_Nemenman,_2015&amp;diff=166&amp;oldid=prev</id>
		<title>nemenman&gt;Ilya: Created page with &quot;{{Back to publ}} L Merchan and I Nemenman. On the sufficiency of pairwise interactions in maximum entropy models of biological networks. Submitted, 2015. [[media:merchan-nemen...&quot;</title>
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		<updated>2015-06-26T14:53:36Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{Back to publ}} L Merchan and I Nemenman. On the sufficiency of pairwise interactions in maximum entropy models of biological networks. Submitted, 2015. [[media:merchan-nemen...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Back to publ}}&lt;br /&gt;
L Merchan and I Nemenman. On the sufficiency of pairwise interactions in maximum entropy models of biological networks. Submitted, 2015. [[media:merchan-nemenman-15.pdf|PDF]], [http://arXiv.org/abs/1505.02831 arXiv].&lt;br /&gt;
&lt;br /&gt;
;Abstract: Biological information processing networks consist of many components, which are coupled by an even larger number of complex multivariate interactions. However, analyses of data sets from fields as diverse as neuroscience, molecular biology, and behavior have reported that observed statistics of states of some biological networks can be approximated well by maximum entropy models with only pairwise interactions among the components. Based on simulations of random Ising spin networks with p-spin (p&amp;gt;2) interactions, here we argue that this reduction in complexity can be thought of as a natural property of densely interacting networks in certain regimes, and not necessarily as a special property of living systems. By connecting our analysis to the theory of random constraint satisfaction problems, we suggest a reason for why some biological systems may operate in this regime.&lt;/div&gt;</summary>
		<author><name>nemenman&gt;Ilya</name></author>
		
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