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	<title>Comments on: Computational Neuroscience: modeling the mind</title>
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	<link>http://neuronism.wordpress.com/2008/09/19/computational-neuroscience/</link>
	<description>Computational neuroscience blog with comments on recent papers and news worth a mention.</description>
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		<title>By: Cian</title>
		<link>http://neuronism.wordpress.com/2008/09/19/computational-neuroscience/#comment-27</link>
		<dc:creator>Cian</dc:creator>
		<pubDate>Thu, 02 Oct 2008 12:12:13 +0000</pubDate>
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		<description>Thanks Navaneethan - I agree with you that it ends a little quickly. This was because I had to fit it to a word limit for the magazine. And of course more depth would have been great, but it was written for a lay audience so I decided to keep it as a broad overview rather than dive into the details. I would love to write more about this, and hopefully will in the future. For now, there are many more resources out there on the net (and in journal papers and books) that are much more comprehensive and insighful than my brief account. A great place to start would be to check out the Sejnowski, Koch and Churchland paper I&#039;ve referenced at the end of the article, and maybe Carson Chow&#039;s blog, Scientific Clearing House (linked in the sidebar). He has had a few really interesting posts recently discussing the philosophy behind theoretical neuroscience, notably: http://sciencehouse.blogspot.com/2008/08/realistic-versus-abstract-neural.html .

As for your question about Marr&#039;s levels of analysis, you are of course correct in saying that the first level (computational) will dictate the second (algorithmic). This is also true of the second level&#039;s relationship to the third by the way. I think what Marr was getting at was that by distinguishing these three levels, we can be very clear in our minds which level we are trying to explore or explain the system at. This can avoid much mental confusion. Nobody is saying that each level is completely independent of the others, but you can imagine that at each level there is a certain degree of wiggle room, or alternative possiblities. In the article I used the example of motion detection as a computation to be performed by the visual system. The algorithm used to achieve this task could be selected from any number of candidates, like the Reichardt detector, or maybe some higher order statistical technique. The eventual neural implementation will of course be determined by the chosen algorithm, but again there may be more than one candidate neural circuit to carry out the task. A concise description of this idea which I like is at: http://www.nici.kun.nl/~peterh/doc/marr_levels.html</description>
		<content:encoded><![CDATA[<p>Thanks Navaneethan &#8211; I agree with you that it ends a little quickly. This was because I had to fit it to a word limit for the magazine. And of course more depth would have been great, but it was written for a lay audience so I decided to keep it as a broad overview rather than dive into the details. I would love to write more about this, and hopefully will in the future. For now, there are many more resources out there on the net (and in journal papers and books) that are much more comprehensive and insighful than my brief account. A great place to start would be to check out the Sejnowski, Koch and Churchland paper I&#8217;ve referenced at the end of the article, and maybe Carson Chow&#8217;s blog, Scientific Clearing House (linked in the sidebar). He has had a few really interesting posts recently discussing the philosophy behind theoretical neuroscience, notably: <a href="http://sciencehouse.blogspot.com/2008/08/realistic-versus-abstract-neural.html" rel="nofollow">http://sciencehouse.blogspot.com/2008/08/realistic-versus-abstract-neural.html</a> .</p>
<p>As for your question about Marr&#8217;s levels of analysis, you are of course correct in saying that the first level (computational) will dictate the second (algorithmic). This is also true of the second level&#8217;s relationship to the third by the way. I think what Marr was getting at was that by distinguishing these three levels, we can be very clear in our minds which level we are trying to explore or explain the system at. This can avoid much mental confusion. Nobody is saying that each level is completely independent of the others, but you can imagine that at each level there is a certain degree of wiggle room, or alternative possiblities. In the article I used the example of motion detection as a computation to be performed by the visual system. The algorithm used to achieve this task could be selected from any number of candidates, like the Reichardt detector, or maybe some higher order statistical technique. The eventual neural implementation will of course be determined by the chosen algorithm, but again there may be more than one candidate neural circuit to carry out the task. A concise description of this idea which I like is at: <a href="http://www.nici.kun.nl/~peterh/doc/marr_levels.html" rel="nofollow">http://www.nici.kun.nl/~peterh/doc/marr_levels.html</a></p>
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		<title>By: Navaneethan Santhanam</title>
		<link>http://neuronism.wordpress.com/2008/09/19/computational-neuroscience/#comment-26</link>
		<dc:creator>Navaneethan Santhanam</dc:creator>
		<pubDate>Wed, 01 Oct 2008 21:24:32 +0000</pubDate>
		<guid isPermaLink="false">http://neuronism.wordpress.com/?p=84#comment-26</guid>
		<description>Interesting article, though I wish you would go a bit more in depth - it was building up really well, and I was a trifle let down by what I thought was a slightly abrupt ending.

Regarding the 3 stages, wouldn&#039;t the nature of the computations performed be determined by the algorithm used? I mean, you wouldn&#039;t compute something if the idea you&#039;re using doesn&#039;t need it, right?</description>
		<content:encoded><![CDATA[<p>Interesting article, though I wish you would go a bit more in depth &#8211; it was building up really well, and I was a trifle let down by what I thought was a slightly abrupt ending.</p>
<p>Regarding the 3 stages, wouldn&#8217;t the nature of the computations performed be determined by the algorithm used? I mean, you wouldn&#8217;t compute something if the idea you&#8217;re using doesn&#8217;t need it, right?</p>
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		<title>By: Encephalon 55, emeralds, neurons and fine whiskey &#124; Psychology Blog</title>
		<link>http://neuronism.wordpress.com/2008/09/19/computational-neuroscience/#comment-25</link>
		<dc:creator>Encephalon 55, emeralds, neurons and fine whiskey &#124; Psychology Blog</dc:creator>
		<pubDate>Tue, 30 Sep 2008 23:34:16 +0000</pubDate>
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		<description>[...] exceptional posts: one on targets for deep brain stimulation and their effects, and another on computational neuroscience that was published in Edinburgh University&#8217;s science [...]</description>
		<content:encoded><![CDATA[<p>[...] exceptional posts: one on targets for deep brain stimulation and their effects, and another on computational neuroscience that was published in Edinburgh University&#8217;s science [...]</p>
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		<title>By: Emerald Encephalon &#171; Neuroanthropology</title>
		<link>http://neuronism.wordpress.com/2008/09/19/computational-neuroscience/#comment-24</link>
		<dc:creator>Emerald Encephalon &#171; Neuroanthropology</dc:creator>
		<pubDate>Tue, 30 Sep 2008 10:56:30 +0000</pubDate>
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		<description>[...] wondered what computational neuroscience is? Neuronism gives us the overview of this modeling [...]</description>
		<content:encoded><![CDATA[<p>[...] wondered what computational neuroscience is? Neuronism gives us the overview of this modeling [...]</p>
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