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	<title>Comments on: Neural Network &#8220;Learning Rules&#8221;</title>
	<atom:link href="http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/</link>
	<description>Chronicling the cognitive revolution in neuroscience</description>
	<pubDate>Sat, 17 May 2008 02:55:39 +0000</pubDate>
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		<title>By: Seth Herd</title>
		<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-4794</link>
		<dc:creator>Seth Herd</dc:creator>
		<pubDate>Wed, 07 Nov 2007 06:10:03 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-4794</guid>
		<description>Excellent post, and excellent paper!  I actually read your paper when it came out.  As best as I can tell, very few people are thinking about temporal sequencing in neural nets.</description>
		<content:encoded><![CDATA[<p>Excellent post, and excellent paper!  I actually read your paper when it came out.  As best as I can tell, very few people are thinking about temporal sequencing in neural nets.</p>
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		<title>By: Chris Chatham</title>
		<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-313</link>
		<dc:creator>Chris Chatham</dc:creator>
		<pubDate>Wed, 28 Mar 2007 01:01:55 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-313</guid>
		<description>Wow, this post is awesome.  I have a similar (but much less clear) set of notes that I review every time I open up the simulation software I use!  This is much better.

This is my first time at this blog - very cool stuff!  I'll be adding you to my blogroll.</description>
		<content:encoded><![CDATA[<p>Wow, this post is awesome.  I have a similar (but much less clear) set of notes that I review every time I open up the simulation software I use!  This is much better.</p>
<p>This is my first time at this blog - very cool stuff!  I&#8217;ll be adding you to my blogroll.</p>
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		<title>By: P.L.</title>
		<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-134</link>
		<dc:creator>P.L.</dc:creator>
		<pubDate>Fri, 16 Mar 2007 01:30:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-134</guid>
		<description>No you've got it right -- to make sure to not confuse the newbies, and to make it as clear as possible, I'll make that change now!  Thanks!</description>
		<content:encoded><![CDATA[<p>No you&#8217;ve got it right &#8212; to make sure to not confuse the newbies, and to make it as clear as possible, I&#8217;ll make that change now!  Thanks!</p>
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		<title>By: Eric</title>
		<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-133</link>
		<dc:creator>Eric</dc:creator>
		<pubDate>Fri, 16 Mar 2007 01:14:02 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-133</guid>
		<description>Thank you. Very interesting. Just one point on your explanation of the formula - in your example if W(now) = 0.5 then you should use consistently throughout your formula, otherwise a newbie like me will get confused. W=0.5 + LearningRate x [PRE(past)-0.5]... Unless I am wrong?</description>
		<content:encoded><![CDATA[<p>Thank you. Very interesting. Just one point on your explanation of the formula - in your example if W(now) = 0.5 then you should use consistently throughout your formula, otherwise a newbie like me will get confused. W=0.5 + LearningRate x [PRE(past)-0.5]&#8230; Unless I am wrong?</p>
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		<title>By: Shane</title>
		<link>http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-132</link>
		<dc:creator>Shane</dc:creator>
		<pubDate>Thu, 15 Mar 2007 23:01:26 +0000</pubDate>
		<guid isPermaLink="false">http://www.neurevolution.net/2007/03/15/neural-network-learning-rules/#comment-132</guid>
		<description>Awesome article.  Thanks.</description>
		<content:encoded><![CDATA[<p>Awesome article.  Thanks.</p>
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