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		<id>http://tcwiki.azurewebsites.net/index.php?action=history&amp;feed=atom&amp;title=Neuron</id>
		<title>Neuron - Revision history</title>
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		<updated>2026-11-06T10:52:52Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>http://tcwiki.azurewebsites.net/index.php?title=Neuron&amp;diff=25340&amp;oldid=prev</id>
		<title>Tom: Created page with &quot;==Definition==  ==Context==  ==Artificial== Also called a McCulloch-Pitts Neuron is an attempt to mimic an animal Neuron, originally with a purpose built computer syst...&quot;</title>
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				<updated>2025-11-29T01:40:34Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot;==Definition==  ==Context==  ==Artificial== Also called a McCulloch-Pitts &lt;a href=&quot;/index.php?title=Neuron&quot; title=&quot;Neuron&quot;&gt;Neuron&lt;/a&gt; is an attempt to mimic an animal &lt;a href=&quot;/index.php?title=Neuron&quot; title=&quot;Neuron&quot;&gt;Neuron&lt;/a&gt;, originally with a purpose built computer syst...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;==Definition==&lt;br /&gt;
&lt;br /&gt;
==Context==&lt;br /&gt;
&lt;br /&gt;
==Artificial==&lt;br /&gt;
Also called a McCulloch-Pitts [[Neuron]] is an attempt to mimic an animal [[Neuron]], originally with a purpose built computer system. While it was first described in 1947, it was not realized until Frank Rosenblatt built is Mark I computer using perceptrons as a primary physical element. He continued to build larger machines with more layer until his early death in 1971. Minskey and Papert wrote an entire book&amp;lt;ref&amp;gt; M. Minsky &amp;amp; S. Papert, ''Perceptrons'' (1987-12-28) ISBN 978-0262631112&amp;lt;/ref&amp;gt; where they purported to show that it was a dead-end idea which basically blocked progress on them til the 1980's. The Large Language Models that became popular in the early 2020's are based on Multi-Level Perceptrons (MLP).&lt;br /&gt;
==References==&lt;/div&gt;</summary>
		<author><name>Tom</name></author>	</entry>

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