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	<title>Comments on: So, How Do REAL Neuronal Networks Compute?</title>
	<atom:link href="http://neurodudes.com/2007/02/20/so-how-do-real-neuronal-networks-compute/feed/" rel="self" type="application/rss+xml" />
	<link>http://neurodudes.com/2007/02/20/so-how-do-real-neuronal-networks-compute/</link>
	<description>at the intersection of neuroscience and AI.</description>
	<pubDate>Fri, 05 Sep 2008 06:35:25 +0000</pubDate>
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		<title>By: Stephen</title>
		<link>http://neurodudes.com/2007/02/20/so-how-do-real-neuronal-networks-compute/#comment-43565</link>
		<dc:creator>Stephen</dc:creator>
		<pubDate>Thu, 22 Feb 2007 15:21:04 +0000</pubDate>
		<guid isPermaLink="false">http://neurodudes.com/?p=365#comment-43565</guid>
		<description>Thanks Guest.  By the way, I'm not a Dr. yet, though thanks for the upgrade ;)

The question you raise is an important one indeed.  The field is still coming to grips with it.  And there may not be just one answer.  Although people tend to focus on the cerebral cortex as having the exemplar architecture/connectivity for the whole brain, it is the case that some of the most critical brain areas have very different architectures.  For example, the cortex is a six-layered structure, while the reticular formation in the midbrain seems to be a diffuse network of neurons with a structure that cross-cuts many other midbrain nuclei.  It may be the case that we discover that structures like cortex can be described with statistical connectivity, but that the reticular formation requires much more precise wiring in order to explain.  At the end of the day, it will come down to how well our models of these systems explain and predict the data we collect.</description>
		<content:encoded><![CDATA[<p>Thanks Guest.  By the way, I&#8217;m not a Dr. yet, though thanks for the upgrade <img src='http://neurodudes.com/wp-includes/images/smilies/icon_wink.gif' alt=';)' class='wp-smiley' /> </p>
<p>The question you raise is an important one indeed.  The field is still coming to grips with it.  And there may not be just one answer.  Although people tend to focus on the cerebral cortex as having the exemplar architecture/connectivity for the whole brain, it is the case that some of the most critical brain areas have very different architectures.  For example, the cortex is a six-layered structure, while the reticular formation in the midbrain seems to be a diffuse network of neurons with a structure that cross-cuts many other midbrain nuclei.  It may be the case that we discover that structures like cortex can be described with statistical connectivity, but that the reticular formation requires much more precise wiring in order to explain.  At the end of the day, it will come down to how well our models of these systems explain and predict the data we collect.</p>
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		<title>By: guest</title>
		<link>http://neurodudes.com/2007/02/20/so-how-do-real-neuronal-networks-compute/#comment-43392</link>
		<dc:creator>guest</dc:creator>
		<pubDate>Wed, 21 Feb 2007 19:59:58 +0000</pubDate>
		<guid isPermaLink="false">http://neurodudes.com/?p=365#comment-43392</guid>
		<description>Once again a very thoughtful essay from Dr. Larson.  One very critical question is:  is it enough to know the "statistical" connectivity of a brain, or do we need the precise wiring?  (Or is the precise wiring just the statistical connectivity with a few tweaks here and there?)</description>
		<content:encoded><![CDATA[<p>Once again a very thoughtful essay from Dr. Larson.  One very critical question is:  is it enough to know the &#8220;statistical&#8221; connectivity of a brain, or do we need the precise wiring?  (Or is the precise wiring just the statistical connectivity with a few tweaks here and there?)</p>
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		<title>By: Istopfornothing</title>
		<link>http://neurodudes.com/2007/02/20/so-how-do-real-neuronal-networks-compute/#comment-43391</link>
		<dc:creator>Istopfornothing</dc:creator>
		<pubDate>Wed, 21 Feb 2007 19:51:54 +0000</pubDate>
		<guid isPermaLink="false">http://neurodudes.com/?p=365#comment-43391</guid>
		<description>Oh great, this must be the dullest work of the decade in neuro, this brilliant combo of maths and neuro has turned up absolutely nothing new, just the same old crap, yeah and some new jargon. Wtf, academic work has finally turned academic!</description>
		<content:encoded><![CDATA[<p>Oh great, this must be the dullest work of the decade in neuro, this brilliant combo of maths and neuro has turned up absolutely nothing new, just the same old crap, yeah and some new jargon. Wtf, academic work has finally turned academic!</p>
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